# Import all required libraries
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder, StandardScaler
from sklearn.decomposition import PCA
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score, confusion_matrix
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.neighbors import KNeighborsClassifier
from sklearn.naive_bayes import GaussianNB
from sklearn.tree import DecisionTreeClassifier, plot_tree
from sklearn.ensemble import RandomForestClassifier
import mord as m
import xgboost as xgb
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import TensorDataset, DataLoader
import logging
import os
# Increase font size of all Seaborn plot elements
sns.set(font_scale = 1.25)
# Set Seaborn theme
sns.set_theme(style = "white")Classification I
Lecture 5
Dr. Greg Chism
University of Arizona
INFO 523 - Data Mining & Discovery
Setup
Classification
Supervised machine learning
Supervised learning is a paradigm in machine learning where input objects (for example, a vector of predictor variables) and a desired output value (also known as human-labeled supervisory signal) train a model. The training data is processed, building a function that maps new data on expected output values.
Broadly categorized into two categories
Classification
- This type of supervised learning is used when the output variable is a category, such as “spam” or “not spam”, “malignant” or “benign”, etc. The goal is to predict discrete labels.
Regression
- In regression, the output variable is a real value, such as “salary”, “temperature”, or “height”. Regression is used for predicting continuous outcomes.
Classification
Examples of tasks
- Classifying tumors as benign or malignant
- Classifying credit card transactions as legitimate or fraudulent
- Categorizing news stories as finance, weather, entertainment, sports, etc.
Question
Can we predict high-risk credit individuals by their financial traits?
Explore our data
| emp_title | emp_length | state | homeownership | annual_income | verified_income | debt_to_income | annual_income_joint | verification_income_joint | debt_to_income_joint | delinq_2y | months_since_last_delinq | earliest_credit_line | inquiries_last_12m | total_credit_lines | open_credit_lines | total_credit_limit | total_credit_utilized | num_collections_last_12m | num_historical_failed_to_pay | months_since_90d_late | current_accounts_delinq | total_collection_amount_ever | current_installment_accounts | accounts_opened_24m | months_since_last_credit_inquiry | num_satisfactory_accounts | num_accounts_120d_past_due | num_accounts_30d_past_due | num_active_debit_accounts | total_debit_limit | num_total_cc_accounts | num_open_cc_accounts | num_cc_carrying_balance | num_mort_accounts | account_never_delinq_percent | tax_liens | public_record_bankrupt | loan_purpose | application_type | loan_amount | term | interest_rate | installment | grade | sub_grade | issue_month | loan_status | initial_listing_status | disbursement_method | balance | paid_total | paid_principal | paid_interest | paid_late_fees | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | global config engineer | 3.0 | NJ | MORTGAGE | 90000.0 | Verified | 18.01 | NaN | NaN | NaN | 0 | 38.0 | 2001 | 6 | 28 | 10 | 70795 | 38767 | 0 | 0 | 38.0 | 0 | 1250 | 2 | 5 | 5.0 | 10 | 0.0 | 0 | 2 | 11100 | 14 | 8 | 6 | 1 | 92.9 | 0 | 0 | moving | individual | 28000 | 60 | 14.07 | 652.53 | C | C3 | Mar-2018 | Current | whole | Cash | 27015.86 | 1999.33 | 984.14 | 1015.19 | 0.0 |
| 1 | warehouse office clerk | 10.0 | HI | RENT | 40000.0 | Not Verified | 5.04 | NaN | NaN | NaN | 0 | NaN | 1996 | 1 | 30 | 14 | 28800 | 4321 | 0 | 1 | NaN | 0 | 0 | 0 | 11 | 8.0 | 14 | 0.0 | 0 | 3 | 16500 | 24 | 14 | 4 | 0 | 100.0 | 0 | 1 | debt_consolidation | individual | 5000 | 36 | 12.61 | 167.54 | C | C1 | Feb-2018 | Current | whole | Cash | 4651.37 | 499.12 | 348.63 | 150.49 | 0.0 |
| 2 | assembly | 3.0 | WI | RENT | 40000.0 | Source Verified | 21.15 | NaN | NaN | NaN | 0 | 28.0 | 2006 | 4 | 31 | 10 | 24193 | 16000 | 0 | 0 | 28.0 | 0 | 432 | 1 | 13 | 7.0 | 10 | 0.0 | 0 | 3 | 4300 | 14 | 8 | 6 | 0 | 93.5 | 0 | 0 | other | individual | 2000 | 36 | 17.09 | 71.40 | D | D1 | Feb-2018 | Current | fractional | Cash | 1824.63 | 281.80 | 175.37 | 106.43 | 0.0 |
| 3 | customer service | 1.0 | PA | RENT | 30000.0 | Not Verified | 10.16 | NaN | NaN | NaN | 0 | NaN | 2007 | 0 | 4 | 4 | 25400 | 4997 | 0 | 1 | NaN | 0 | 0 | 1 | 1 | 15.0 | 4 | 0.0 | 0 | 2 | 19400 | 3 | 3 | 2 | 0 | 100.0 | 1 | 0 | debt_consolidation | individual | 21600 | 36 | 6.72 | 664.19 | A | A3 | Jan-2018 | Current | whole | Cash | 18853.26 | 3312.89 | 2746.74 | 566.15 | 0.0 |
| 4 | security supervisor | 10.0 | CA | RENT | 35000.0 | Verified | 57.96 | 57000.0 | Verified | 37.66 | 0 | NaN | 2008 | 7 | 22 | 16 | 69839 | 52722 | 0 | 0 | NaN | 0 | 0 | 1 | 6 | 4.0 | 16 | 0.0 | 0 | 10 | 32700 | 20 | 15 | 13 | 0 | 100.0 | 0 | 0 | credit_card | joint | 23000 | 36 | 14.07 | 786.87 | C | C3 | Mar-2018 | Current | whole | Cash | 21430.15 | 2324.65 | 1569.85 | 754.80 | 0.0 |
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 10000 entries, 0 to 9999
Data columns (total 55 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 emp_title 9167 non-null object
1 emp_length 9183 non-null float64
2 state 10000 non-null object
3 homeownership 10000 non-null object
4 annual_income 10000 non-null float64
5 verified_income 10000 non-null object
6 debt_to_income 9976 non-null float64
7 annual_income_joint 1495 non-null float64
8 verification_income_joint 1455 non-null object
9 debt_to_income_joint 1495 non-null float64
10 delinq_2y 10000 non-null int64
11 months_since_last_delinq 4342 non-null float64
12 earliest_credit_line 10000 non-null int64
13 inquiries_last_12m 10000 non-null int64
14 total_credit_lines 10000 non-null int64
15 open_credit_lines 10000 non-null int64
16 total_credit_limit 10000 non-null int64
17 total_credit_utilized 10000 non-null int64
18 num_collections_last_12m 10000 non-null int64
19 num_historical_failed_to_pay 10000 non-null int64
20 months_since_90d_late 2285 non-null float64
21 current_accounts_delinq 10000 non-null int64
22 total_collection_amount_ever 10000 non-null int64
23 current_installment_accounts 10000 non-null int64
24 accounts_opened_24m 10000 non-null int64
25 months_since_last_credit_inquiry 8729 non-null float64
26 num_satisfactory_accounts 10000 non-null int64
27 num_accounts_120d_past_due 9682 non-null float64
28 num_accounts_30d_past_due 10000 non-null int64
29 num_active_debit_accounts 10000 non-null int64
30 total_debit_limit 10000 non-null int64
31 num_total_cc_accounts 10000 non-null int64
32 num_open_cc_accounts 10000 non-null int64
33 num_cc_carrying_balance 10000 non-null int64
34 num_mort_accounts 10000 non-null int64
35 account_never_delinq_percent 10000 non-null float64
36 tax_liens 10000 non-null int64
37 public_record_bankrupt 10000 non-null int64
38 loan_purpose 10000 non-null object
39 application_type 10000 non-null object
40 loan_amount 10000 non-null int64
41 term 10000 non-null int64
42 interest_rate 10000 non-null float64
43 installment 10000 non-null float64
44 grade 10000 non-null object
45 sub_grade 10000 non-null object
46 issue_month 10000 non-null object
47 loan_status 10000 non-null object
48 initial_listing_status 10000 non-null object
49 disbursement_method 10000 non-null object
50 balance 10000 non-null float64
51 paid_total 10000 non-null float64
52 paid_principal 10000 non-null float64
53 paid_interest 10000 non-null float64
54 paid_late_fees 10000 non-null float64
dtypes: float64(17), int64(25), object(13)
memory usage: 4.2+ MB| emp_length | annual_income | debt_to_income | annual_income_joint | debt_to_income_joint | delinq_2y | months_since_last_delinq | earliest_credit_line | inquiries_last_12m | total_credit_lines | open_credit_lines | total_credit_limit | total_credit_utilized | num_collections_last_12m | num_historical_failed_to_pay | months_since_90d_late | current_accounts_delinq | total_collection_amount_ever | current_installment_accounts | accounts_opened_24m | months_since_last_credit_inquiry | num_satisfactory_accounts | num_accounts_120d_past_due | num_accounts_30d_past_due | num_active_debit_accounts | total_debit_limit | num_total_cc_accounts | num_open_cc_accounts | num_cc_carrying_balance | num_mort_accounts | account_never_delinq_percent | tax_liens | public_record_bankrupt | loan_amount | term | interest_rate | installment | balance | paid_total | paid_principal | paid_interest | paid_late_fees | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 9183.000000 | 1.000000e+04 | 9976.000000 | 1.495000e+03 | 1495.000000 | 10000.00000 | 4342.000000 | 10000.00000 | 10000.00000 | 10000.000000 | 10000.00000 | 1.000000e+04 | 10000.000000 | 10000.000000 | 10000.000000 | 2285.000000 | 10000.0000 | 10000.000000 | 10000.000000 | 10000.000000 | 8729.000000 | 10000.000000 | 9682.0 | 10000.0000 | 10000.000000 | 10000.000000 | 10000.000000 | 10000.000000 | 10000.000000 | 10000.000000 | 10000.000000 | 10000.000000 | 10000.000000 | 10000.000000 | 10000.000000 | 10000.000000 | 10000.000000 | 10000.000000 | 10000.000000 | 10000.000000 | 10000.000000 | 10000.000000 |
| mean | 5.930306 | 7.922215e+04 | 19.308192 | 1.279146e+05 | 19.979304 | 0.21600 | 36.760709 | 2001.29000 | 1.95820 | 22.679600 | 11.40440 | 1.836062e+05 | 51049.063100 | 0.013800 | 0.167100 | 46.112473 | 0.0001 | 184.334000 | 2.663600 | 4.376100 | 7.340703 | 11.379600 | 0.0 | 0.0001 | 3.595300 | 27357.410300 | 13.030000 | 8.095000 | 5.230500 | 1.383100 | 94.648990 | 0.043300 | 0.123800 | 16361.922500 | 43.272000 | 12.427524 | 476.205323 | 14458.916610 | 2494.234773 | 1894.448466 | 599.666781 | 0.119516 |
| std | 3.703734 | 6.473429e+04 | 15.004851 | 7.016838e+04 | 8.054781 | 0.68366 | 21.634939 | 7.79551 | 2.38013 | 11.885439 | 5.86828 | 1.876327e+05 | 53636.731172 | 0.126535 | 0.687768 | 21.748021 | 0.0100 | 2206.389859 | 2.935387 | 3.158583 | 5.981590 | 5.859705 | 0.0 | 0.0100 | 2.434689 | 26570.164081 | 7.874713 | 4.906606 | 3.327623 | 1.717274 | 9.155059 | 0.593852 | 0.337172 | 10301.956759 | 11.029877 | 5.001105 | 294.851627 | 9964.561865 | 3958.230365 | 3884.407175 | 517.328062 | 1.813468 |
| min | 0.000000 | 0.000000e+00 | 0.000000 | 1.920000e+04 | 0.320000 | 0.00000 | 1.000000 | 1963.00000 | 0.00000 | 2.000000 | 0.00000 | 0.000000e+00 | 0.000000 | 0.000000 | 0.000000 | 2.000000 | 0.0000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0000 | 0.000000 | 0.000000 | 2.000000 | 0.000000 | 0.000000 | 0.000000 | 14.300000 | 0.000000 | 0.000000 | 1000.000000 | 36.000000 | 5.310000 | 30.750000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| 25% | 2.000000 | 4.500000e+04 | 11.057500 | 8.683350e+04 | 14.160000 | 0.00000 | 19.000000 | 1997.00000 | 0.00000 | 14.000000 | 7.00000 | 5.159375e+04 | 19185.500000 | 0.000000 | 0.000000 | 29.000000 | 0.0000 | 0.000000 | 1.000000 | 2.000000 | 2.000000 | 7.000000 | 0.0 | 0.0000 | 2.000000 | 10000.000000 | 7.000000 | 5.000000 | 3.000000 | 0.000000 | 92.600000 | 0.000000 | 0.000000 | 8000.000000 | 36.000000 | 9.430000 | 256.040000 | 6679.065000 | 928.700000 | 587.100000 | 221.757500 | 0.000000 |
| 50% | 6.000000 | 6.500000e+04 | 17.570000 | 1.130000e+05 | 19.720000 | 0.00000 | 34.000000 | 2003.00000 | 1.00000 | 21.000000 | 10.00000 | 1.146670e+05 | 36927.000000 | 0.000000 | 0.000000 | 47.000000 | 0.0000 | 0.000000 | 2.000000 | 4.000000 | 6.000000 | 10.000000 | 0.0 | 0.0000 | 3.000000 | 19500.000000 | 11.000000 | 7.000000 | 5.000000 | 1.000000 | 100.000000 | 0.000000 | 0.000000 | 14500.000000 | 36.000000 | 11.980000 | 398.420000 | 12379.495000 | 1563.300000 | 984.990000 | 446.140000 | 0.000000 |
| 75% | 10.000000 | 9.500000e+04 | 25.002500 | 1.515455e+05 | 25.500000 | 0.00000 | 53.000000 | 2006.00000 | 3.00000 | 29.000000 | 14.00000 | 2.675500e+05 | 65421.000000 | 0.000000 | 0.000000 | 63.000000 | 0.0000 | 0.000000 | 3.000000 | 6.000000 | 11.000000 | 14.000000 | 0.0 | 0.0000 | 5.000000 | 36100.000000 | 17.000000 | 10.000000 | 7.000000 | 2.000000 | 100.000000 | 0.000000 | 0.000000 | 24000.000000 | 60.000000 | 15.050000 | 644.690000 | 20690.182500 | 2616.005000 | 1694.555000 | 825.420000 | 0.000000 |
| max | 10.000000 | 2.300000e+06 | 469.090000 | 1.100000e+06 | 39.980000 | 13.00000 | 118.000000 | 2015.00000 | 29.00000 | 87.000000 | 51.00000 | 3.386034e+06 | 942456.000000 | 3.000000 | 52.000000 | 128.000000 | 1.0000 | 199308.000000 | 35.000000 | 29.000000 | 24.000000 | 51.000000 | 0.0 | 1.0000 | 32.000000 | 386700.000000 | 66.000000 | 46.000000 | 43.000000 | 14.000000 | 100.000000 | 52.000000 | 3.000000 | 40000.000000 | 60.000000 | 30.940000 | 1566.590000 | 40000.000000 | 41630.443684 | 40000.000000 | 4216.440000 | 52.980000 |
| emp_title | state | homeownership | verified_income | verification_income_joint | loan_purpose | application_type | grade | sub_grade | issue_month | loan_status | initial_listing_status | disbursement_method | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 9167 | 10000 | 10000 | 10000 | 1455 | 10000 | 10000 | 10000 | 10000 | 10000 | 10000 | 10000 | 10000 |
| unique | 4741 | 50 | 3 | 3 | 3 | 12 | 2 | 7 | 32 | 3 | 6 | 2 | 2 |
| top | manager | CA | MORTGAGE | Source Verified | Not Verified | debt_consolidation | individual | B | B1 | Mar-2018 | Current | whole | Cash |
| freq | 218 | 1330 | 4789 | 4116 | 611 | 5144 | 8505 | 3037 | 647 | 3617 | 9375 | 8206 | 9284 |
Code
categorical_cols = loans.select_dtypes(include = ['object', 'category']).columns
category_analysis = {}
for col in categorical_cols:
counts = loans[col].value_counts()
proportions = loans[col].value_counts(normalize=True)
unique_levels = loans[col].unique()
category_analysis[col] = {
'Unique Levels': unique_levels,
'Counts': counts,
'Proportions': proportions
}
for col, data in category_analysis.items():
print(f"Analysis for {col}:\n")
print("Unique Levels:", data['Unique Levels'])
print("\nCounts:\n", data['Counts'])
print("\nProportions:\n", data['Proportions'])
print("\n" + "-"*50 + "\n")Analysis for emp_title:
Unique Levels: ['global config engineer ' 'warehouse office clerk' 'assembly' ...
'inspector/packer' 'da coordinator ' 'toolmaker']
Counts:
emp_title
manager 218
owner 204
teacher 201
driver 123
sales 97
registered nurse 88
rn 80
supervisor 79
truck driver 63
office manager 61
president 54
general manager 51
project manager 50
engineer 46
director 46
operations manager 43
nurse 33
software engineer 30
sales manager 30
technician 29
account manager 29
owner 29
accountant 29
analyst 28
machine operator 28
server 27
mechanic 27
ceo 24
foreman 24
consultant 24
supervisor 23
vice president 23
attorney 23
police officer 22
manager 21
store manager 20
director of operations 20
administrative assistant 19
cook 19
social worker 18
customer service 18
maintenance 18
professor 18
branch manager 18
counselor 17
executive assistant 17
secretary 17
welder 17
operator 17
assistant manager 17
bartender 17
administrator 17
it manager 17
electrician 17
clerk 16
paralegal 16
realtor 16
teacher 15
program manager 15
registered nurse 15
service manager 15
bus driver 14
controller 14
medical assistant 14
loan officer 14
carpenter 14
executive director 13
principal 13
cna 13
cashier 13
designer 12
sales consultant 12
lpn 12
security officer 12
pharmacist 12
captain 12
account executive 12
chef 12
receptionist 11
partner 11
management 11
mechanic 11
delivery driver 11
sales 10
driver 10
officer 10
business analyst 10
correctional officer 10
instructor 10
physician 10
maintenance 10
warehouse 10
service tech 10
legal assistant 10
laborer 9
team leader 9
assistant professor 9
associate 9
customer service rep 9
superintendent 9
nurse practitioner 9
it specialist 9
administrative assistant 9
district manager 9
bookkeeper 9
truck driver 9
pilot 8
finance manager 8
sales representative 8
project manager 8
graphic designer 8
machinist 8
corrections officer 8
case manager 8
underwriter 8
stocker 8
firefighter 8
customer service 8
financial analyst 8
project engineer 8
deputy sheriff 8
service technician 8
cfo 8
flight attendant 8
marketing 8
agent 8
insurance agent 8
nurse practitioner 7
pharmacy technician 7
senior manager 7
superintendent 7
director of sales 7
therapist 7
dental hygienist 7
tech 7
senior accountant 7
plumber 7
dispatcher 7
financial advisor 7
letter carrier 7
admin 7
cleaner 7
production manager 7
physical therapist 7
recruiter 7
customer service manager 7
assistant principal 7
property manager 7
pastor 7
systems administrator 7
sr project manager 7
technician 7
marketing manager 7
regional manager 7
forman 6
mechanical engineer 6
banker 6
sr software engineer 6
software developer 6
systems engineer 6
staff accountant 6
vp 6
foreman 6
program analyst 6
executive chef 6
loan processor 6
painter 6
director 6
managing director 6
sales associate 6
accounting 6
teller 6
physician assistant 6
program director 6
kitchen manager 6
inspector 6
educator 6
equipment operator 6
contractor 6
stylist 6
housekeeper 6
maintenance supervisor 6
management 6
warehouse manager 6
property manager 6
area manager 6
sales rep 6
operator 6
regional sales manager 6
plant manager 6
service technician 6
senior engineer 6
estimator 6
deputy 6
production 6
receptionist 6
credit analyst 5
electrician 5
field supervisor 5
assembly 5
owner operator 5
carpenter 5
customer service representative 5
office administrator 5
sales manager 5
investigator 5
installer 5
data analyst 5
dental assistant 5
custodian 5
coordinator 5
business manager 5
assembler 5
shipping 5
national sales manager 5
waitress 5
assistant 5
auditor 5
quality control 5
construction manager 5
administrative 5
principal consultant 5
mail carrier 5
faculty 5
personal banker 5
it 5
massage therapist 5
courier 5
hr specialist 5
data entry 5
program coordinator 5
senior consultant 5
assistant director 5
maintenance tech 5
material handler 5
assistant store manager 5
table games dealer 5
medical assistant 5
social worker 5
product manager 5
senior software engineer 4
network engineer 4
barista 4
special education teacher 4
lab tech 4
book keeper 4
sales associate 4
hair stylist 4
nanny 4
sales engineer 4
legal secretary 4
architect 4
project coordinator 4
operating engineer 4
librarian 4
customer success manager 4
marketing coordinator 4
administration 4
chemist 4
owner / operator 4
field service engineer 4
account manager 4
department manager 4
registrar 4
electrical engineer 4
pharmacist 4
senior analyst 4
sales director 4
claims adjuster 4
mail handler 4
associate professor 4
computer technician 4
shift manager 4
director of finance 4
court reporter 4
hr director 4
detailer 4
human resources manager 4
rural carrier 4
marketing director 4
programmer analyst 4
assistant manager 4
admin assistant 4
director of nursing 4
paramedic 4
cpa 4
auto tech 4
network technician 4
sr manager 4
finance 4
relationship manager 4
register nurse 4
school counselor 4
pharmacy technician 4
csr 4
customer service agent 4
systems analyst 4
housekeeping 4
programmer 4
respiratory therapist 4
school bus driver 4
grocery clerk 4
labor 4
president 4
territory manager 4
pipefitter 4
heavy equipment operator 4
owner/operator 4
inside sales 4
shipping manager 4
cashier 4
accounting manager 4
police 4
readiness nco 3
elevator mechanic 3
communications 3
clinical manager 3
attorney 3
recruiter 3
teacher/coach 3
certified medical assistant 3
automotive technician 3
executive assistant 3
lead architect 3
technical support 3
executive 3
pca 3
vp of operations 3
appraiser 3
svp 3
billing specialist 3
business analyst 3
logistics 3
hha 3
database administrator 3
care giver 3
lvn 3
trainer 3
lead teacher 3
lead 3
sales person 3
accounting 3
lease operator 3
solutions architect 3
nursing 3
specialist 3
hr supervisor 3
fire fighter 3
security guard 3
police officer 3
support manager 3
assistant parts manager 3
nurse manager 3
bus operator 3
audit manager 3
baker 3
correction officer 3
principal engineer 3
scheduler 3
co owner 3
co-owner 3
warehouse supervisor 3
senior vice president 3
cdl driver 3
medical records 3
music teacher 3
quality manager 3
sergeant first class 3
phlebotomist 3
sr developer 3
security supervisor 3
purchasing manager 3
staff rn 3
conductor 3
information technology 3
patrolman 3
photographer 3
owner/manager 3
system administrator 3
hr coordinator 3
marketing director 3
pta 3
service director 3
store manager 3
processor 3
billing clerk 3
branch manager 3
physician 3
maintenance mechanic 3
accounting clerk 3
assistant vice president 3
surgical tech 3
safety manager 3
plant manager 3
administrative secretary 3
special agent 3
qa analyst 3
senior project manager 3
doorman 3
hr manager 3
sales executive 3
coo 3
parts manager 3
purchasing 3
pharmacy manager 3
lead engineer 3
principal 3
accountant 3
medical doctor 3
home health aide 3
editor 3
sergeant 3
occupational therapist 3
handyman 3
server 3
soldier 3
quality assurance 3
receiving clerk 3
accounts payable 3
officer 3
district manager 3
engineering project manager 3
caregiver 3
personal trainer 3
network administrator 3
service advisor 3
office assistant 3
claims specialist 3
deputy clerk 3
machine operator 3
executive director 3
senior account manager 3
president & ceo 3
city carrier 3
shift supervisor 3
loan officer assistant 3
accounting assistant 3
machinist 3
road driver 3
admin asst 3
site manager 3
practice manager 3
paraprofessional 3
assistant general manager 3
production tech 3
sous chef 3
general manager 3
construction worker 3
process engineer 3
sales consultant 3
team member 3
court officer 3
senior loan officer 3
safety coordinator 3
software architect 3
dock worker 3
shop manager 3
senior associate 3
math teacher 3
security 3
dentist 3
office manager 3
forklift operator 3
lieutenant 3
food server 3
asst manager 2
customer service manager 2
accounts payable specialist 2
advisor 2
project specialist 2
business consultant 2
director of business affairs 2
head of finance 2
locksmith 2
project accountant 2
nail tech 2
division chief 2
it consultant 2
deli manager 2
solution architect 2
science teacher 2
rda 2
patient access 2
therapist 2
accounting associate 2
import agent 2
director of property management 2
quality 2
business office manager 2
sr network engineer 2
retail 2
technical support specialist 2
parts sales 2
guidance counselor 2
merchandiser 2
quality assurance manager 2
accounts receivable 2
pricing 2
heavy equipment operator 2
concierge 2
detective 2
budget analyst 2
corporal 2
sergeant 2
team manager 2
shipping and receiving 2
assistant 2
assistant bakery manager 2
traffic manager 2
registered dietitian 2
chaplain 2
civil engineer 2
human resources 2
management analyst 2
managing member 2
radiology manager 2
mortgage closer 2
it technician 2
facility manager 2
technition 2
rn case manager 2
assistant prosecutor 2
controller 2
comptroller 2
house keeping 2
boss 2
claims examiner 2
collector 2
mortgage loan officer 2
owner/president 2
military 2
gm 2
security 2
auto technician 2
ct tech 2
forman 2
technical specialist 2
manufacturing engineer 2
crane operator 2
bus operator 2
software consultant 2
executive producer 2
contracts manager 2
superintendant 2
vice president of sales 2
claims rep 2
sales mgr 2
sr account executive 2
assistant district attorney 2
salesman 2
mortgage underwriter 2
crew 2
receiving 2
landscaper 2
barber 2
substitute teacher 2
medical director 2
control room operator 2
studio manager 2
server engineer 2
library specialist 2
janitor 2
sr systems engineer 2
billing supervisor 2
emt 2
aircraft technician 2
president/owner 2
field service technician 2
automotive technician 2
it analyst 2
research associate 2
aviation safety inspector 2
engineer 2
military officer 2
equipment operator 2
network tech 2
director of operations 2
sr web developer 2
planner 2
assistant property manager 2
food service director 2
maintenance technician 2
operations manager 2
commodity broker 2
engineering technician 2
software support engineer 2
communications specialist 2
travel agent 2
professional truck driver 2
labor 2
charge nurse 2
broker/realtor 2
clerical 2
psychologist 2
fire captain 2
director of it 2
sr operations analyst 2
bartender 2
help desk 2
area sales manager 2
regional controller 2
speech pathologist 2
buyer 2
care coordinator 2
air traffic controller 2
senior systems architect 2
vp finance 2
software engineer 2
general sales manager 2
production specialist 2
certified pharmacy tech 2
office work 2
restaurant manager 2
escrow officer 2
paramedic 2
manufacturing associate 2
branch service manager 2
revenue manager 2
finance director 2
client service rep 2
operations supervisor 2
chief operating officer 2
licensed vocational nurse 2
sales representative 2
shop forman 2
admissions counselor 2
front office coordinator 2
associate attorney 2
family support worker 2
implementation consultant 2
marketing specialist 2
collections 2
graphic artist 2
sushi chef 2
overnight stocker 2
project mgr 2
maintenance engineer 2
janitor 2
department lead 2
csp 2
sole proprietor 2
senior business analyst 2
group leader 2
process technician 2
director of administration 2
ramp agent 2
production operator 2
retail manager 2
quality control manager 2
route salesman 2
credit manager 2
csa 2
development officer 2
maint 2
warehouse associate 2
nursing assistant 2
leadman 2
payroll mgr 2
district sales manager 2
treasurer 2
nurse anesthetist 2
press operator 2
construction inspector 2
inspector 2
feeder driver 2
welder 2
warehouse worker 2
home health aid 2
meat manager 2
cad manager 2
financial director 2
asst manager 2
transportation supervisor 2
actuary 2
legal assistant 2
sourcing manager 2
key holder 2
dealer 2
nurse 2
tool and die maker 2
teaching assistant 2
assistant professor 2
fulfillment associate 2
crew leader 2
medical coder 2
correctional officer 2
respiratory therapist 2
business development manager 2
weighmaster 2
communications manager 2
senior system engineer 2
assistant branch manager 2
line cook 2
firefighter 2
maintenance director 2
medical technologist 2
physical therapist assistant 2
porter 2
training manager 2
tech 2
web developer 2
creative director 2
physical therapist assistant 2
inside sales representative 2
line lead 2
senior programmer analyst 2
staff 2
cnc programmer 2
school administrator 2
dental assistant 2
parts mgr 2
personal trainer 2
journeyman 2
crane operator 2
zone manager 2
warehouse 2
technical account manager 2
accounts receivable manager 2
maintenance technician 2
senior data engineer 2
crna 2
corporate recruiter 2
operation manager 2
production scheduler 2
pharmacy tech 2
sales agent 2
it support 2
maintenance manager 2
production supervisor 2
shipping supervisor 2
account representative 2
electronic tech 2
otr driver 2
operations supervisor 2
regional director 2
bookkeeper 2
director of information technology 2
dispatch manager 2
maintenance mechanic 2
fleet manager 2
outside sales 2
warehouse associate 2
lead clerk 2
mortgage banker 2
supply chain manager 2
vp sales 2
shop foreman 2
vp of sales 2
human services 2
fire captain 2
radiologic technologist 2
finisher 2
communications officer 2
sales specialist 2
product specialist 2
operations analyst 2
shipping 2
cnc operator 2
title clerk 2
human resources director 2
it director 2
senior web developer 2
teachers aide 2
service advisor 2
senior quality analyst 2
paraprofessional 2
probation officer 2
senior mechanical engineer 2
sr business analyst 2
quality team leader 2
financial service representative 2
compliance manager 2
program coordinator 2
manicurist 2
cdl truck driver 2
meat cutter 2
repair technician 2
account executive 2
closer 2
health assistant 2
coordinator 2
asset protection 2
executive vice president 2
warranty administrator 2
chief financial officer 2
hr generalist 2
paralegal 2
real estate agent 2
inventory control 2
vice president 2
business development associate 2
field inspector 2
distribution manager 2
program officer 2
driller 2
assembly 2
data analyst ii 2
medical biller 2
accounting specialist 2
team lead 2
hr 2
enterprise account executive 2
real estate broker 2
civil engineer 2
project coordinator 2
logistics 2
electrical assembler 2
secretary 2
senior inspector 2
sales supervisor 2
client relations manager 2
director of sales 2
plumber 2
corrections officer 2
inventory 2
consultant 2
1sg 2
art teacher 2
retail sales 2
teacher aide 2
sales assistant 2
senior paralegal 2
lead teller 2
doorman 2
business systems analyst 2
customer service representative 2
contract manager 2
process operator 2
administrative associate 2
loader 2
union carpenter 2
employee 2
cardiac sonographer 2
student services coordinator 2
owner operator 2
radiology tech 1
office specialist ii 1
house patient care manager 1
senior associate engineer 1
executive vendor analyst 1
support coordinator 1
clinical supervisor/behavior analyst 1
development specialist 1
international trip planner 1
owner/retirement planning 1
branch sales and service representative 1
assembly technician 1
enrollment compliance rep 1
secretary/ treasurer 1
bakery manager 1
customer technical support supervisor 1
conducter 1
hospital police 1
supply chain project manager 1
marketing supervisor 1
industrial mechanic 1
logistics supervisor 1
staff financial analyst 1
application analyst 1
sports & recreation director 1
veterinary technician 1
network center tech 1
electronic technician 1
organizer 1
credit specialist 1
insurance rep 1
management executive 1
customer engineer 1
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escrow officer/branch manager 1
neighborhood & housing specialist 1
offset printing operator 1
warranty admin 1
field tech 1
deputy cio/g6 1
artistic associate 1
communications operator 1
commercial manager 1
operations project analyst 1
car inspector 1
on-site manager 1
financial service represent 1
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jewelry consultant 1
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it support analyst 1
packing 1
deputy 1
nail specialist 1
minister of music & senior adults 1
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director of career services 1
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railroad engineer 1
evs 1
nanny/babysitter 1
fnp 1
corrective maintain tech 1
front end loader 1
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first lieutenant 1
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journeyman mechanic 1
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senior planner 1
backtender 1
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custodian 2 1
sr purchasing specialist 1
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operating partner/general manager 1
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ach operations 1
immigration enforcement agent 1
ccht 1
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merchandise 1
senior account analyst 1
field tech 1
braillist 1
x-ray technologist 1
shuttle driver 1
product owner 1
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air conditioning 1
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security engineer 1
director of pfs 1
assistant director, budget & finance 1
senior logistics analyst 1
accounting clerk 1
director project management 1
government affairs director 1
night supervisor 1
sale representative 1
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creative executive 1
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fulfillment 1
coding manager 1
certified nursing assistsnt 1
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licenced practical nurse 1
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ops manager 1
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intake coordinaor 1
senior director of operations 1
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foreman/supervisor 1
vice president east coast closing 1
tax manager 1
bank regulator 1
cjief officer 1
director of sales operations 1
teller supervisor 1
security gard 1
property adjuster 1
musician 1
call center associate 1
cep 1
sales account executive 1
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electro-mechanical tech 1
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owner, president 1
senior controller 1
record keeper 1
assistant section chief 1
emergency technician 1
staff field adjustor 1
retail sales consultant 1
pm 1
electronic maintenance 1
dean of paraprofessionals 1
regional account manager 1
e-5 alims 1
executive office administrator 1
contract admin 1
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hr special projects manager 1
certified nurse aide 1
fork lift operator 1
storemanager 1
qa control 1
professor assistant 1
aircraft mechsnic 1
aviator pilot 1
owner - president 1
information processing technician 1
social media supervisor 1
signalman 1
director of nursing assistant 1
facilities technician 1
shipping and recieving 1
tailor/fitter 1
park supervisor 1 1
managing partner 1
processor/underwriter 1
compounder 1
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senior collector 1
fueler 1
city superintendent 1
behavioral health unit supervisor 1
cosmetologist colorist 1
operations supervisor 1
principle software engineer 1
director of construction 1
service operations specialist 1
mlo 1
transportation director 1
managing member/owner 1
support supervisor 1
speech language pathologist 1
medicaid eligibility examiner ii 1
project manger 1
se 1
polive officer 1
cable/telephone technitian 1
inland marine underwriter 1
vp customer operations 1
global project manager 1
patient care liaison/triage tech/lead 1
srsupervisor 1
sr security analyst, grc 1
county counsel 1
shipping receiving clerk 1
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caseworker 1
hts 1
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radiologist 1
lead repair tech 1
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evp operations 1
corporate trainer 1
president and ceo 1
technical information specialist 1
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licensed barber 1
vp of lending 1
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fulltime 1
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plumber/pipefitter 1
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seaman 1
payroll supervisor 1
avionics technician 1
night manager 1
lead custom technician 1
medical fellow 1
network &support specialist 1
operations lead 1
cash applications supervisor 1
linemen 1
specialist: hope operations 1
st john specialist 1
coating tech 1
mortgage servicing specialist 1
3rd shift plant manager 1
quality supervisor 1
facilities coordinator 1
1st grade teacher 1
computer programmer 1
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paraeducator iii 1
originator 1
live sound engineer 1
pdr technician 1
body tech 1
body mechanic 1
bulk cheese cutter 1
welder/supervisor 1
associate editor 1
national acct/business development mgr 1
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business administrator 1
die maker 1
senior database administrator 1
check in lead 1
labor foreman 1
car salesmam 1
warehouseman 1
central supply clerk 1
operation 1
nursing attendant 1
customer delivery director 1
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sales/collections 1
asst finance director 1
digital advertising associate 1
accounting ar 1
bodyman 1
glazier 1
heavy equipment washing 1
postdoctoral researcher 1
marketer 1
a&d clerk 1
inspection tech 1
deckhand 1
senior storekeeper 1
commercial operations specialist 1
system/database administrator 1
credit directo 1
lecturer 1
master system tech 1
medical gas verifier 1
journeyman wireman 1
licensed practical nurse 1
technical manager 1
campus supervisor 1
school nurse 1
senior vp 1
jewelry sales consultant 1
ny district manager 1
sr teller 3 1
director, quality improvement 1
optical manager 1
plating tech 1
pharmasist 1
cio 1
desk sgt 1
cct 1
cdl-driver 1
director of case management 1
outside sales rep 1
sr consultant 1
pipelayer/construction laborer 1
marketing 1
inside account manager 1
registered rn 1
fts 1
product development 1
records 1
operations specialist 1
stocking 1
apparel sales lead/keyholder 1
early head start teacher 1
survey tech 1
owne 1
property manger 1
training chief 1
sr research compliance coordinator 1
freight coordinator 1
manager, sales operations 1
sales merchandiser 1
cnc machinist 1
director of research 1
chief of staff 1
senior technical specialist 1
finance and accounting 1
cable splicer 1
3rd shift supervisor 1
manager, l&d, nicu 1
trooper 1
live-in care giver 1
srbusiness system analyst 1
sales administrator 1
shop foremam 1
ownner 1
taxidriver 1
production associate 1
regional credit lead 1
plant utilities engineer 1
laboror 1
aftermarket 1
city traffic engineer 1
land technician 1
support engineer/web designer 1
warranty administrator 1
inside wireman 1
planning manager 1
health aid 1
purchase agent 1
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laborer 1
admin asst 1
it qa 1
judge 1
supply chain administrator 1
field mechanic 1
biostatistician/epidemiologist 1
materials specialist ii 1
outreach director/pastor 1
patient services 1
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pacs admin 1
teacher/administrator 1
clinic manager 1
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otr driver 1
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forklit operator 1
cnc programer 1
lead consulting data analyst 1
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kitchen 1
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principle fellow 1
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internal audit contractor 1
vp enrollment 1
structure analyst 1
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senior erp consultant 1
sr sys admin 1
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asst mgr bts contract 1
svp of commercial operations 1
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register nurse manager 1
registered cardiovascular technologist 1
railroad conductor 1
sr computer operator 1
pipewelder 1
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owner/operater 1
manager is - tier 1 nursing and pharmacy 1
inventory supervisor 1
interior designer 1
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director of donor society clubs 1
resource officer 1
financial administrator 1
food technician 1 1
project applications engineer 1
apprentice lineman 1
regular full time carrier 1
legal 1
learning systems analyst 1
forge fabrucator 1
food service leader 1
general mechanic g-12 1
electrical and instrument designer 1
fire alarm inspector 1
director of marketing 1
business specialist 1
senior assistant manager 1
hospitality services manager 1
supply specialist 1
floor layer 1
rental navigator 1
quality system specialist ii 1
public utility analyst ii 1
rehab manager 1
it student supervisor 1
senoir vendor support 1
flight medic 1
factory 1
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owner-consultant 1
pension ananlyst 1
patient access rep 1
funeral servicd assistant 1
asst teacher 1
chief operations officer 1
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operations coordinator 1
nurse consultant 1
technical writer 1
customer service engineer 1
it help desk 1
staff sergeant 1
rn-supervisor 1
classroom assistant 1
onsite electrostatic specialist painter 1
bolter 1
gate inspector 1
hs teacher/ college professor 1
talent development consultant 1
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parts counter 1
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bank examiner 1
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truck drivet 1
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registered nurse / director of nursing 1
porter 1
lpc 1
lieutenant sheriff dept 1
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counselor 1
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deli team leader/manager 1
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well teck 1
dept of rehabilitation 1
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rn in surgery 1
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vp operations 1
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secreatary 1
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sander 1
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er nurse - clinical trauma specialist 1
shipping and picking 1
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director transformation 1
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aro 1
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cota 1
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dietary 1
certifying scientist 1
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deputy chief of police 1
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patron services 1
distribution 1
tanker man 1
networks 1
real estate support staff 1
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avp of edi 1
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pressroom operator 1
sr principal consultant 1
wire technician 1
sr loan processor 1
americorp member 1
lending officer 1
tax clerk 1
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svp operations 1
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certification clerk 1
msg 1
aftermarket expeditor 1
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host 1
cadd 1
home health aide 1
learning experience facilitator 1
director of corporate operations 1
state trooper 1
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nails tech 1
relationship banker 1
vac/shift relief warehouse 1
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prep touch up 1
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director asset management 1
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bridge tender 1
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rn-icu 1
talent 1
certified tumor registrar 1
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devops engineer 1
its5 1
maritime transportation specialist 1
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technical 1
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technology consultant iv 1
aviation analyst 1
title examiner 1
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department management 1
sr mech spec 1
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gis analyst 1
nuclear medicine 1
operator one 1
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staff sargent 1
sr loan officer 1
supervisor, production 1
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software sales 1
mc 1
human resource business partner 1
qc manager 1
accounting technician 1
director of information services 1
customer resolution manager 1
casualty rep adjuster 1
district hr mgr 1
coverage partner 1
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financial center operations manager 1
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irb coordinaor 1
head pressman 1
ux development manager 1
supervisor/front end 1
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360app specialist 1
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sales/barista 1
postdoctoral research associate 1
client services 1
lpta 1
training store manager 1
electrical design engineer 1
hotel manager 1
strategic procurement sourcing mgr 1
corporate sales 1
super intendant 1
director of engineering 1
house manager 1
associate auditor 1
youth specialist 1
sprinkler foreman 1
intern 1
operation engineer 1
dist computer tech 1
realtor - independent contractor 1
operation 1
mgr it application 1
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parent partner 1
line driver 1
sr java analyst programmer 1
des support operations 1
market leader 1
contractor 1
certified nurse aide 1
risk operations 1
carpenter foreman 1
principle business solution architect 1
coding lead 1
global config engineer 1
sr application analyst 1
lead sales and service associate 1
bus monitor 1
supply tech 1
export ops supervisor 1
commercial cleaner 1
helo crew chief 1
senior network engineer 1
operating engineer 1
supervisor front desk 1
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crew member 1
snr project engineer 1
courier 1
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systems engineer 1
svp chief design officer 1
passenger tire builder 1
blackjack dealer 1
finance mgr 1
car hauler 1
maintenance splicer 1
ceiling mechanic 1
shiping and receiving 1
utility porter 1
tech support specialist 1
residential ast 1
gs-6 1
sales assistant 1
training records specialist 1
security officer 1
construction wireman 1
mla 1
logistics specialist 1
vice president/market manager 1
medical technician 1
director of career center 1
haul truck driver 1
customer service advisor 1
strategic account director 1
techinology cooridinator 1
day care 1
sr social marketing strategist 1
lead systems administrator 1
installer/technician 1
maintenance tech 1
rn clinical informatics coordinator 1
housekeeping manager 1
house keeper 1
teacher'saide 1
conusultant 1
customer service/lpn 1
costing administrator 1
pm/pdm tech 1
broker 1
management & program analyst 1
corporate sales manager 1
web front-end designer 1
work yd 1
assistant manager of bus schedules 1
paraprofession 1
case worker 1
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schedule coordinator 1
sr solution architect 1
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gaming dealer 1
own truckdriver 1
pharmcist 1
managing attorney 1
senior enrollment specialist 1
form operator 1
vacation specialist 1
senior police officer 1
ssgt / e-5 1
accounts payable manager 1
warehouse clerk 1
events coordiantor 1
creative designer 1
customer relations manager 1
it supervisor 1
home attender 1
business loan counselor officer 1
project controls 1
mobile support analyst 1
software developper 1
network engineer 1
directional driller 1
special events and marketing assistant 1
patient access representative 1
inkjet lead operator 1
bank manager 1
police assistant 1
practice coordinator 1
track welder 1
police officer 2 1
interim dean of students 1
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it professional 1
ecommerce, digital strategy 1
owner & operator 1
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nutrition 1
salon leader 1
sr mechanical engineer 1
tv broadcaster 1
sr system analyst 1
notasked 1
body shop manager 1
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labor relations specialist 1
lawyer/partner 1
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qa project coordinator 1
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operator machine 1
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mro purchaser 1
signing associate 1
software 1
superintendent of schools 1
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bi analyst 1
coiled tubing supervisor 1
special forces warrant officer 1
partner physician 1
regional credit center assistant manager 1
quality assurance specialist 1
sr compensation analyst 1
line operator 1
cardiac tech 1
full time hub person 1
sales coordinator 1
claims advisor 1
senior speciailst 1
senior manager permitting 1
sales and marketing 1
quarry manager 1
assistant supervisor 1
screening supervisor 1
slot keyperson 1
rep 1
maintenence 1
production tempering assembly 1
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mental health worker 1
vp-lending application manager 1
sr unix administrator 1
meatcutter helper 1
classification sergeant 1
vice president regional property mgr 1
exam coordinator/technology specialist 1
camp manager 1
dueno 1
executive ceo assistant 1
broker-associate 1
town manager 1
electrical contractor supervisor 1
chief inspector 1
information associat, sr 1
program mgr 1
public safety officer 1
vice president - operations 1
education site manager 1
lead mechanic 1
rental management 1
erp manager 1
mathematical statistician 1
assistant supervisor 1
home lending officer 1
vice principal 1
hvac service technician 1
youth development specialist 1
network installer 1
honor health 1
photography agent 1
salesperson - yearbooks 1
coin operator 1
r e appraiser 1
claims assistant 1
parking manager 1
supervisor, ada field surveillance 1
ach product consultant 1
hr/pr administrator 1
superintended 1
senior visual designer 1
project controls supervisor 1
billing & admin 1
card services supervisor 1
service plumber 1
early childhood teacher 1
coding facilitator 1
city council 1
realtor associate 1
legal instruments examiner 1
technical support analyst 1
contract specialist 1
lube manager 1
senior business process specialist iii 1
rv consultant specialist 1
school psychologist 1
accounting dept 1
quality assurane test and evaluation 1
mitigation manager 1
records management specialist 1
community director 1
software development support 1
electrical 1
cust svc 1
administrative/bookkeeper 1
relationship banker 1
medical lab tech 1
firefighter/technician 1
communications specialist 1
pharm tech 1
seafood manager 1
booth renter/stylist 1
sr security consultant 1
drover 1
legal processes coordinator 1
airline captain 1
central indiana analogies 1
sps 1
writer 1
independent contractor 1
city carrier assistant 1
b tech 1
manufacturing systems technician 1
corporate chef 1
operations mgr 1
call center director 1
announcer 1
director, executive search 1
collections representative 1
svp, public policy 1
mortgage loan processor 1
administrative services manager 1
food scientist 1
fire and safety engineer 1
engineering tech 1
benefits clerk 1
telecommunications 1
trainmaster 1
bim manager 1
auto worker 1
corporate operations director 1
help desk technician 1
aid 1
accounting spe 1
machinist/manager 1
assistant dir rn 1
elementary building engineer 1
houskeepeng 1
applications engineer 1
e7 1
frame builder 1
is specialist 1
implementation tech 1
jobsite supervision 1
talent acquisition manager 1
produce manager 1
specialist 2 1
sales represetative 1
purchasing aide 1
vehicle inventory 1
group it manager 1
adjunct professor 1
senior programmer/analyst 1
sergeant (e5) 1
ndt level 2 inspector 1
benefit consultant 1
registered nurse team leader 1
technical recruiter 1
agent 1
electronic assembly 1
systems integration manager 1
production 1
educational diagnostician 1
application specialist ii 1
federal agent 1
district partner 1
compliance business analyst iv 1
security analyst 1
project management director 1
division president 1
maitnence supervisor 1
roi 1
assistant human resources 1
senior graphic designer 1
employment training center director 1
machinist mate third class 1
dental hygenist 1
delivery drivers 1
vet assistant 1
editor/marketing director 1
bus opertor 1
qa supervisor 1
vp, business support 1
shipping/receiving supervisor 1
gunnersmate 1
technical sergeant 1
irrigation service technician 1
social ed teacher 1
utility worker i 1
executive secretary 1
lead bartender 1
applications developer 1
senior business development executive 1
hris manager 1
supplier development engineer 1
lab director 1
enterprise sales 1
work comp specialist 1
credentialing manager 1
business intelligence developer 1
field consultant 1
senior activities assistant 1
application developer 3 1
certified pharmacy technician 1
is 1
director of sales and marketing 1
e-commerce manager 1
client service representative 1
financial management techncian 1
telecom engineer 1
senior sales supervisor 1
manager/server 1
registered dental hygienist 1
quality inventory management tech 1
mailman 1
veterinary technician 1
financial expert 1
software engineer in test 1
car repairman 1
vp of residential management 1
reputation management program manager 1
firefighter/medic 1
alarm and detection technician 1
senior advisor 1
senior underwriter 1
field service rep 1
dining room facility attendant 1
deputy sheriff 1
supervisor / lead 1
massage therapist 1
worker 1
field operations business partner 1
it security project manager 1
mental health therapist 1
nail technician 1
senior radiologic technologist 1
finance/billing 1
market manager 1
manager mp&l 1
immigration paralegal 1
assistant clinical director 1
tire technician 1
provider enrollment 1
manager, store operations 1
operations 1
inspector/packer 1
da coordinator 1
stockman 1
regional finance leader 1
findlay terminal manager 1
dc tech 1
branch store managermarion n,c 1
program administator 1
lead automation developer 1
receiptionist 1
dean of students 1
branded editor 1
lead devops engineer 1
insurance underwriter 1
telemarketer 1
cardiothoracic sales specialist 1
baker 1
compensation practices manager 1
senior advisor t-2 apple 1
laborer foreman 1
hair dresser 1
histology technician 1
charger operator 1
integration tech iii 1
truck driving 1
nursing coordinator -admin ii 1
line haul driver 1
sales associates 1
warehouse assistant 1
project manager assistant 1
lawyer/owner 1
financial representative 1
regional revenue manager 1
tugboat captain 1
client billing coordinator 1
administrative specialist 1
sterile processing lead technician 1
maid 1
transportation 1
home care aide 1
lineman/field technician 1
occupational therapist - level 3 1
production operator 1
supervisor/cook 1
city clerk 1
production operation specialist 1
food services 1
service clerk 1
office assistants 1
cover driver 1
hr knowledgebase analyst 1
director of people operations 1
professional 1
mail handler 1
vice president, seo 1
technical director 1
sales clerk 1
evp 1
parts delivery person 1
owner/accountant 1
cad tech 1
stylist and consultant 1
patient transporter 1
realtor property manager 1
senior marketing analyst 1
transportation manager 1
paraprofessional 111 (therapeutic ) 1
vp philanthropy 1
devops 1
enginnering technician 1
hospital liaison 1
truck driver 1
medicare supervisor 1
director of dining services 1
producer 1
tier 1 tech support 1
research coordinator 1
radiologic technologist 1
test tech 1
system analyst 1
trial paralegal and realtor 1
regional telephony manager 1
qa supervisor 1
retail market manager 1
sarety security officer 1
produce clerk 1
store brand leader 1
sr claims examiner 1
night auditor 1
lexus service 1
teachers 1
carpinter 1
vp marketing promotions 1
services principal 1
manager, software delivery 1
aviation maintenance technician 1
assistant project manager 1
surgical nurse 1
maintainance 1
glasser 1
evaluation analyst 1
controls software engineer 1
vp, corporate reporting 1
human resources generalist 1
sqd leader 1
regional visual manager 1
land admin mgr 1
lending consultant 1
reporting administrator 1
director of marketing 1
service representative 1
lead lab technician 1
wealth management advisor 1
loan assistant/credit analyst 1
future executive sr sales director 1
senior clerk 1
owner/groomer 1
diesel tech 1
internet sales & marketing manager 1
sr claims specialist 1
care provider 1
senior drafting designer 1
manager/supervisor 1
superior court judge 1
sr oracle database administrator 1
para legal 1
sanitation 1
line worker 1
vp, channel sales & mktg 1
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rx supervisor 1
bco 1
main banker 1
instructional support specialist 1
cheif executive officer 1
regional solutions manager 1
southeast market manager 1
visiting assistant professor 1
sr staffing consultant 1
recording secretary 1
investment analyst 1
provisions 1
finance clerk 1
rn care experience coordinator 1
at3 1
catering associate 1
field manager 1
nurse aide 1
okay 1
mechainc 1
sr storage engineer 1
technical specialists 1
manager customer service 1
director, food and nutrition 1
senior levle lead machinist 1
software quality engineer 1
chemical officer 1
client account coordinator 1
clinical therapist 1
builder 1
dsp 1
chief of police 1
control room operator 1
customer account specialist 1
federal law enforcement 1
community liaison 1
data network consultant 1
shipping clerck 1
shipping associate 1
doo 1
daycare 1
fixer 1
professional driver 1
minister 1
acct manager 1
mgr, bus operations/financial analysis 1
sheriff officer 1
order selector 1
tennis instructor/contract labor 1
corpsman 1
personal assistant 1
obedience trainer 1
community spport 1
ar receptist 1
operations manager 1
armed guard 1
iwtf operator 1
risk manager 1
building engineer 1
information tech specialist 4 1
assistant director of financial aid 1
logistics lead 1
city driver 1
head of customer success 1
concrete specialist/welder 1
media technician 1
clinical nurse 1
manager financial analysis & planning 1
route representative 1
hris/payroll specialist 1
office associate 1
chemical 1
lead network engineer 1
vp sales and marketing 1
crew member/ section leader 1
security technician 1
part sorter 1
senior advisor 1
plant supervisor 1
traffic coordinator 1
instructional designer 1
ar/gl accountant 1
automotive 1
investigative specialist 1
critical skills operator 1
scheduling coordinator 1
sr market research analyst 1
territory sales manager 1
production supervisor 1
senior medical billing specialist 1
sr mechanical designer 1
rgm 1
manager data analytics 1
joint venture partner 1
production graphics 1
utilization rev 1
undergound lineman 1
director of alumni engagement 1
it professional 1
senior or surgical coder 1
parts expeditor 1
extrusion manager 1
finance department 1
instructional assistant 1
customer service specialist 1
survey technician 1
qc techician 1
cpms operations administrator 1
automotive vertical manager 1
him specialist 1
floor health monitor 1
associate governmental program analyst 1
lead pm line cook 1
janitorial 1
compliance supervisor 1
secondary marketing/capital markets 1
upholsterer 1
lead electrician 1
beauty ambassador 1
licence specialist in school psychology 1
limousine driver 1
broadband tech 1
cto clerk 1
manufacturer 1
director of brand marketing 1
clinical team leader 1
senior dpo 1
fcns 1
food service management 1
land use officer 1
client services coordinator 1
shop manager 1
sr loan servicer 1
instructional assistant 1
operator 3 1
deliver driver 1
farmhand 1
avp 1
senior customer service specialist 1
public affairs officer 1
cash application specialist 1
hr/payroll director 1
battalion cheif 1
sr account manager 1
bio sci tech 1
electrical bench tester - lead 1
terminal analyst 1
prem tech 1
dr reg 1
technical sales engineer 1
senior bookkeeper 1
highway trasportation specialist ii 1
senior manager-hub 1
retail fin ancial specialist 1
court administrator iii 1
lab assistant ii 1
detective 1
script supervisor 1
laser technician 2 1
sheriff deputy/bailiff 1
acupuncturist 1
longshoreman 1
ad ops manager 1
sr electrical engineer 1
safety engineer 1
priest 1
coder 1
founder 1
manager, workforce optimization 1
lead teller ops specialist 1
insurance & claims manager 1
license banker 1
hvac teck 1
manager, product management 1
g1 sergeant major 1
forklift driver 1
director of warehousing 1
warranty/tech support 1
pipefitter journeyman 1
maneger 1
director - human resources 1
mail clerk 1
certified veterinary technician 1
property director 1
broadcast designer 1
gis tech 1
disability specialist 1
it product owner 1
work leader 1
collision technician 1
human resources director 1
dry film operator 1
extruder operator 1
economic and community developer 1
senior treasury analyst 1
regional sales manager` 1
recycling 1
composite shop lead 1
foreclosure clerk 1
humanitarian international worker 1
agency records manager 1
lead supervisor 1
msr 1
audio technician 1
attendance officer 1
health services administrator 1
kitchen helper 1
salesperson 1
maternity 1
nursecare 1
instructional support teacher 1
technical sales representative 1
benefits advisor 1
a&p mechanic 1
rt 1
pos 1
association manager 1
owner/ sales 1
welder fabricator 1
sr program administrator iii 1
transaction specialist 1
technical training coordinator 1
rocket technician 1
rubber-liner suupervisor 1
nurse tech 1
security administrator 1
service tegh 1
conversion operations 1
senior account executive 1
caregiver 1
environmental specialist 1
director retired educators 1
service cordinator 1
clerical asscociate ll 1
maintenance electrician 1
delivery driver 1
registar 1
home care worker 1
nurse's assistant 1
personal banker / teller 4 1
production management 1
registered nurse 2 1
maintenance porter 1
it devl manager 1
foreman electrician 1
clinical coordiantor 1
merchandising shift leader 1
roustabout 1
telecom/ fiber technician 1
project specialist 1
restaurant manager 1
teachers assistant 1
meteorologist 1
automobile technician 1
admin sec 1
operating clerk 1
strategic analysis 1
cutter 1
distribution 1
black jack dealer 1
store director 1
budget manager 1
senior electronics technician 1
supervisor inspection 1
lead floor tech 1
president, attorney 1
retail clerk 1
engineering expeditor 1
tool specialist 1
aircraft maintenance control 1
payroll processor 1
it administrator 1
director of coaching 1
human resource manager 1
security technician 1
managing consultant 1
field operator 1
sr procurement cost analyst 1
after school and day camp director 1
lead server 1
chemistry professor 1
power systems engineer 1
technical advisor 1
vp brand marketing 1
sole owner 1
gw2 1
grievance coordinator 1
r&d technician 1
logistics supervision 1
senior life underwriter 1
deputy section manager 1
floor tech 1
head of operations 1
banquet captain 1
owner / president 1
contract administrator 1
assessment specialist 1
coordinator, rehab services 1
computer tec 1
shipping and receiving 1
hardware engineer 1
flight chief 1
visual manager 1
marketing advisor 1
engineer/project manager 1
clerk/treasurer 1
payroll 1
sr data manager` 1
train engineer 1
staff development manager 1
property administrator 1
ssgt 1
director, it support operations 1
general amnger 1
network specialist ii 1
dental hygienist 1
director of female reproductive services 1
business officer 1
member services senior associate 1
senior bio med/ account manager 1
chemical process operator 1
post doctoral associate 1
english teacher 1
dental assistent 1
neighborhood development manager 1
vice president default services 1
electrical worker 1
lot operations 1
senior digital operator 1
senior master auto tech 1
transaction coordinator 1
qa lead 1
nail technician/ esthetician 1
director of revenue management 1
librarian assistant 1
collection development librarian 1
analytic researcher 1
intern pharmacist 1
supply chain specialists 1
business head 1
procurement manager 1
director, operations finance 1
director of engineering 1
facilities maintenance mgr 1
children's intensive case manager 1
special education teacher 1
medical transcriber 1
assistant director of nursing 1
deli and restaurant director 1
real estate broker/ owner 1
projects manager 1
cash office manager 1
service engineer 1
warden 1
manager fiscal operations 1
apraisal deputy 1
grooming apprentice 1
mailhandler 1
graduate researcher 1
certified recovery specialist 1
salesfloor 1
electrical maintenance 1
vice president of marketing / co founder 1
sewer worker 1
unit operator 1
resp therapist 1
attorney/member 1
office assistant iii 1
director of building services 1
administrative specialist ii 1
lead warehouse 1
sr sap software engineer 1
waiter 1
client support services 1
supervising officer 1 1
optician 1
subsurface data doecialist 1
platoon sgt 1
underground splicer 1
mgr - customer qa 1
medical claims examiner 1
advancement officer 1
manager, fraud dept 1
staff specialist 1
leasing manager 1
vp corprate communications 1
executive producer/on-air personality 1
corrections officers 3 1
fire hydrant tech 1
cake decorator 1
operators 1
telephone techician/ supervisor 1
rda 1
process associate 1
optical manager 1
wealth mgmt ops/realtor 1
visa and passport specialist 1
postmaster 1
vice president/training & development 1
interpreter 1
industrial engineer 2 1
skip tracer 1
post production supervisor 1
proposal coordinator 1
automation 1
delivery associate 1
transportation driver 1
engineering 1
title 1 interventions 1
director of strategic partnerships 1
mason 1
sample seamstress 1
sen project engineer 1
mailroom/ site manager 1
cap supervisor 1
lieutenant of police 1
chiropractor 1
admin assist 1
substitute 1
shift lead 1
steward 1
director of asset management 1
qa associate 1
nursing assistance gna 1
h b c cor 1
hospital sales rep 1
computer technical engineer 1
quality control inspector 1
event planner 1
police officer/investigator 1
merchandise 1
labor worker 1
day porter 1
web content manager 1
content marketing specialist 1
manager early career development 1
csr/checker 1
career and transition 1
technical engineer 1
drill instructor 1
qa/qc inspector 1
quality 1
human capital consultant 1
maintenance specialist 1
physical therapist/director of rehab 1
associate vice president 1
high way tech 1 1
penetration tester 1
senior title officer 1
lead service tech 1
dental pas tl 1
school secretary 1 1
nursing assistsnt 1
sr vice president 1
police officer /auto parts delivery 1
teaching fellow 1
senior officer specialist 1
systems engineer 4 1
project & property manager 1
billing/customer service 1
icare 1
owner opperator 1
ramp service man 1
fleet sales 1
pharmacy courier 1
pricing strategist 1
pilot 1
contractor sales 1
comgr 1
route driver 1
customer service/sales associate 1
chief communications officer 1
art fairs coordinator 1
technical support 1
medical education specialist 1
service assurance agent 1
mortgage lender 1
craneman 1
environmental consultant 1
doctor 1
powerlineman 1
family service worker ii 1
telecom analyst 1
full professor 1
director of catering 1
admissions coordinator 1
director of security 1
vp/portfolio manager 1
director of student services 1
rrt 1
labor relations analyst 1
vp risk manager 1
project controls specialist 1
recruiting manager 1
business systems analyst, senior 1
diet clerk 1
nurse assistant 1
area service manager 1
warehouse inventory 1
post-closer manager 1
forklift drive 1
medical transporter 1
nda technical programs manager 1
office manager/executive assistant 1
business analyst iii 1
premier banker 1
werehouse associated 1
construction manger 1
executive administrator 1
heavy loader operator 1
biomedical engineer 1
medical w 1
lead shipping 1
reviewer 1
national organizing manger 1
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financial consultant 1
pct3 1
director of programs and education 1
provider 1
equipment sales 1
service tech 1
customer sevice 1
plumbing dept associate 1
senior property manager 1
tax analyst 1
food service worker 1
audiologist 1
quality analyst 1
shipping forklift driver 1
graphic design teacher 1
senior software developer 1
supply planner 1
hr dir 1
parts business development manager 1
regional sales director 1
it service technician 1
benefits/worklife manager 1
software developer ii 1
airport supervisor 1
bsa investigator 1
district service manager 1
probation corrections officer 1
family service specialist ii 1
entertainment coordinator 1
owner/ contractor for lowes 1
ehr applications analyst iii 1
software management directo 1
florist 1
special enforcement investigator 1
warehouse team member 1
front office supervisor 1
operations director 1
senior network lead engineer 1
annalyst 1
driver forklift 1
wfa 1 1
file clerk 1
load crew chief 1
lna 1
horticulturist 1
facility maintenance manager 1
sensor operator 1
senior vice president, sr rel manager 1
learning resource engineer 1
director of pharmacy 1
human resources mananger 1
mfg compl tech 1
mailhandler 1
core operator 1
edi analyst 1
administrative nursing supervisor 1
machinist/ supervisor 1
director of quality assurance 1
rehab officer 1
product specialist 1
youth supervisor 1
worker in kitchen 1
media manager 1
site superintendent 1
marketing strategist 1
coordinator 1
physicians secretary 1
tcr 1
unit manager 1
maint tech 1
programs servicing specialist ii 1
manager of it 1
accounts payable team leader 1
fraud investigator 1
event manager 1
dental technician 1
general manager asset services 1
library tech 1
denatl hygienist 1
engeneer 1
process laboratory technician 1
director of account management 1
helicopter mechanic 1
bh care planner 1
material handler 1
equipment coordinator 1
mechanical integration leaded 1
senior server engineer 1
radiology 1
area distributor manager 1
district supervisor 1
medical receptionist 1
cashier supervisor 1
lead automation engineer 1
pipe welder 1
senior case manager 1
gse mechanic 1
pharmacy 1
work and receivng dock 1
department administrator 1
construction foreman 1
sr manager, global payroll 1
employee health care specialist 1
graduate research associate 1
gs-11 logistics specialist 1
direct sales agent 1
surveyor tech ii 1
campus security officer 1
mri 1
ms3 1
butcher assistant 1
senior programmer 1
cardiovascular technician 1
money ctr 1
ea 1
home health aid cna 1
server deliver manager 1
sr facility services managers 1
exec asst fo ceo 1
technical writer iii 1
linkages site coordinator 1
tire building 1
audio visual technician 1
loader/unloader 1
stewart 1
background investigator 1
print operator 1
smt 1
sen network analyst 1
vice president ocean services 1
accounting clerk iv 1
owner/director 1
dir strategic accounts 1
rca professional 1
surgeon 1
lab manager/ dental assistant 1
family assistance analyst ii 1
admin aid 1
assistant principal 1
oral maxillofacial surgeon 1
education contractor 1
brand ambassador/promotional model 1
security offier 1
deputy of public works 1
business system technician 1
leasing professional 1
and assist 1
technichian 1
marine mechanic 1
field sales manager 1
clinical engineer 1
saws 1
ditect support proffessional 1
category coordinator 1
customer manager 1
college store coordinator 1
care nurse 1
senior lender specialist ii 1
water inspector 1
area sales director 1
director technology 1
funeral director 1
clinic manager 1
operations processing specialist 1
contracting officer 1
highway foreman 1
brand manager 1
ultrasound tech 1
rotary operator 1
cdl a driver warehouse tech 1
building manager 1
medical laboratory technologist 1
dsr 1
sr, mgr, global network services 1
lvn care coordinator 1
assistant general manager 1
svp, americas 1
parole agent iii 1
fixed assets analyst 1
facilities operations manager 1
help desk manager 1
massage therapoist 1
district manager 1
cashier/salesperson 1
sales director international 1
administrstor 1
medical laboratory scientist 1
network infrastructure engineer 1
shipping foreman 1
sheet metal journeyman 1
audio eng 1
scheduling 1
sales 1
international shipping agent 1
new accounts rep 1
senior superintendent 1
quality engineer 1
truck foremen 1
data coordinator 1
strategic account manager 1
clerk 1
senior manager 1
senior audit analyst 1
development engineer 1
lead sales associate 1
surgery assistant 1
autocad senior electrical designer 1
senior insurance sales rep 1
director of operations - women's basketb 1
human resources representative ii 1
practice director 1
sterile processor 1
qma 1
diver 1
lamination 1
design drafter 1
strategic planner 1
senior network systems programmer 1
supervisor (master of record) 1
sales and service fire protection 1
nursing supervisor 1
bartender/server 1
referee 1
advanced individual training instructor 1
regional rep 1
manager admin services 1
chief unified network communications brn 1
national strategic account manager 1
regional director of operations 1
stna 1
corporate business analyst 1
finance director 1
sql report developer 1
sales department supervisor 1
sales/service 1
regional operations manager 1
senior partner 1
claims adjuster 1
msw social worker 1
loss recovery specialist 1
purchasing assistance 1
self employed 1
de/sar underwriter 1
of counsel 1
investment lead 1
director of academic success center 1
underwriters assistant 1
retail associat 1
ct scan technologist 1
payroll secretary 1
assessment clerk 1
msa 1
support services assistant 1
senior fellow engineer 1
gm clerk/cashier 1
digital product manager 1
lunchroom supervisor 1
manager, fp&a 1
teaching fellow 1
dental hygienist 1
customer relations specialists 1
state regulatory 1
nurse technician 1
shift manager 1
empowerment leader 1
nurse/hbo technician 1
department chari 1
logistics spealist 1
area operator 1
administrative lead 1
senior field services rep 1
diesel mechanic 1
program specialist 1
revit coordinator / cad technician 1
sec/treas 1
research engineer 1
retail sales/support mgr 1
cnc machinist 1
owner agent 1
administrative officer 1
district operations manager 1
factory worker 1
transfer driver 1
art director 1
naval officer (future operations) 1
lockbox specialist iii 1
contractor - work from home 1
solutions engineer 1
university police 1
clinical tech 1
siu qc/qa analyst 1
sales engineering manager 1
facilities mechanic 1
customer support rep 1
machinest 1
senior product developer 1
senior qa analyst 1
direct support professional 1
gene regulation product and services man 1
service 1
sr pension administrator 1
phd student 1
referral representative 1
order specialist 1
bus driver 1
machine tender 1
retail banker 1
product owner 1
director of partner business 1
director of music 1
customer service supervisor 1
finace 1
specimen processor 1
fuel transport driver 1
flight coordinator 1
field supervision director insurance 1
vp of east coast operations 1
srsystems analyst 1
sr sales manager 1
supervisory it specialist 1
firefighter/paramedic 1
service analyst manager 1
mob technician 1
machinist/engineer 1
department maneger 1
client service specialist 1
dna extraction techologist iii 1
claim services mgr 1
operations engineer 1
vp & counsel 1
certified registered nurse anesthetist 1
logistic management specialist 1
sr mgr, na maintenance & facility eng 1
eeg technologist 1
a/c service technician 1
sr administrative assistant 1
sas consultant 1
application support analyst 1
pressman 1
health and safety officer 1
president / owner 1
distribution mechanic 1
sr director, risk management 1
payroll project analyst 1
fabrication manager 1
product support specialist 1
service operator 2 1
appliance technician 1
executive general manager 1
heart transplant coordinator 1
private health aid 1
solution architect senior manager 1
reporting analyst 1
record management specialist 1
ap coordinator 1
arborist 1
vet technician 1
deputy probation officer iii 1
content manager 1
filling lead 1
nail technician 1
cut up 1
after school day care 1
famil advocate 1
commercial maintenance tech 1
maternal child health specialist 1
creative services manager 1
par professional mentor 1
sr it consultant 1
assistant to the treasurer 1
certificated payroll professional 1
general contractor 1
senior salesforce developer/architect 1
retail sales associate 1
venue manager 1
tsr 1
cst certified surgical technician 1
housing specialist 1
school counselor 1
executive secretary 1
quality control technician 1
bench tech 1
special forces medic 1
it executive 1
office administrator 1
manager - solutions architect 1
maitenance 1
er physician 1
account representative 1
owner/office manager 1
lift driver 1
senior right of way agent 1
system engneer 1
brake line operator 1
asst customer service manager 1
plant operator 1
purchasing assistant 1
monorail tech 1
rehab tech 1
home manager 1
dependency case manager 1
city carrier 1
director of national accounts 1
senior business analyst 1
sheet metal worker/truck driver 1
front desk 1
patient care advocate 1
research coordinator 1
outside sales representative 1
special education secretary 1
production support 1
grants manager 1
medical records and medical billing 1
trimer and detail 1
medical assistance administrator 1
personal care assistant 1
corprecruiter 1
maintenance 1
project control specialist 1
sales leader 1
front office 1
csa iii 1
immigration officer 1
sales engineer specialist 1
psychometrician 1
director of property assets and finance 1
machinists 1
vacation replacement 1
nursing supervisor 1
senior internal auditor 1
strategy consultant 1
degreed nutritionist 1
collision technician 1
pbx operator 1
store worker 1
value stream leader 1
office mgr 1
packer handler 1
sound and comm installer 1
ma 1
sr business control specialist 1
resident physician 1
enterprise support manager 1
licensed lending officer 1
auto advisor supervisor 1
vp, technology 1
reporter 1
branch operations 1
application consultant 1
debt collector 1
western regional manager 1
bilingual case manager 1
design sales 1
administrative secretary 1
auto body estimator 1
claims clerk 1
staffing coordinator 1
modeler 1
it technical lead 1
automotive equipment mechanic 1
assist manager 1
senior transportation surveyor 1
engineering specialist 1
erse 4 1
analyst general 1
floor manager 1
compliance consultant 1
medical record qa 1
lead medical secretary 1
senior developer 1
customer service specialist 1
dental assistance/administration 1
maintenance supervisor 1
pse 1
front office 1
access service librarian 1
financial reporting manager 1
deputy director 1
tech 3 1
mio specialist 1
senior billing specialist 1
supply management specialist 1
tso 1
bakery 1
reservations agent 1
driver / warehouse 1
conference coordinator 1
lead line service tech 1
vision center sales 1
it analyst ii 1
owner/agent 1
service delivery manager 1
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sr program manager 1
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iss rep 1
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rx lab tecg 1
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4th person 1
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forming operator 1
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house officer 1
vp hr 1
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pmo manager 1
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runner 1
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sr it business analyst 1
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vp tech support andtraining 1
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validation engineering advisor 1
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colonel 1
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cto 1
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rn clinical educator 1
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youthdevelopment 1
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presidnet 1
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vp interior design 1
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manager system integration 1
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senior content strategist 1
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director, field operations 1
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sales support 1
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qa engineer 1
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psr 2 1
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smts software engineer 1
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cfssii 1
vp operations and technical services 1
executive vp and general counsel 1
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vp fp&a 1
vp institutional sales 1
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aaiii 1
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attendant 1
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selector 1
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vp - project manager 1
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qa 1
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parts tech 1
associate pastor 1
rdaef 1
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vp, digital operations 1
title specialist 1
cardiothoracic surgery physician assist 1
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molder 3 1
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nut ricin technician 1
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police lieutenant 1
director for engineering 1
nail 1
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notary 1
sales operation 1
training nco 1
vp of finance and administration 1
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maanger 1
cna 1
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psychology associate senior 1
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audit 1
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parole 1
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freight broker 1
director marketing 1
member 1
heavy equipment operated 1
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pst 1
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director of supply chain operations 1
program development director 1
distribution associate 1
tree spraying & pruning 1
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implemetation specialist 1
trucker 1
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vinyl repair 1
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claim specialist 1
teacher aid 1
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technision 1
key holder 1
venturcap investment group 1
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regulatory/safety & pharmaco vigilance a 1
executive adminstrative 1
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stocker 1
e5 1
regional staff nurse 1
director of student finance 1
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outside sales 1
realtor, abr, cbr 1
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rvp 1
vault cashier 1
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sr director it&s 1
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claims 1
field engineer 1
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uc 1
rsr driver dc 1
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rigger 1
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government operations consultant 1
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director/paramedic 1
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product development engineer- ford 1
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general counsel 1
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store mgr 1
support specialist 1
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stability coordinator 1
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patrol sergeant 1
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support broker 1
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mk attendant 1
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business analyst v 1
director of laser sales 1
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salesman 1
dietery 1
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criminal finanacial obligaions senor 1
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qulity specialists 1
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wine steward 1
rn 1
digital ad ops manager 1
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parts dept 1
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tile tech 1
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millwright 1
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machinen operarto cnc 1
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sr shelf edge analyst 1
itd 1
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cantor 1
software tech 1
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e-9 1
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medical coding auditor 1
atm technician 1
vp of automotive operations 1
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system analyst 1
fund operations analyst 1
early collector 1
mgmt 1
cna/hha 1
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sandblaster 1
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stylest 1
program director 1
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underwriter/agent 1
front desk receptionist guard 1
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lead respiratory therapist 1
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client services mgr 1
ceo/vp of opns 1
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training manager 1
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buyer i 1
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vp security specialist 1
program chair 1
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partner attorney 1
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parts technician 1
managet 1
psychiatric social clerk i 1
sanitation specialist 1
category gaming manager 1
expo, cashier, shift lead 1
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hvac tech 1
driver/ 1
banquets setup supervisor 1
general partner 1
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supervisor spd 1
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admission's co-ordinator 1
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cmo 1
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rc 1
21 dealer 1
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hr mgr 1
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fragrance specialist 1
eligibility specialist 1
a,b operater 1
key accounts manager 1
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attraction attendant 1
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welding foreman 1
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veterans technician 1
asst terminal manager 1
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eligibility 1
test engineer 1
cems technician 1
dir of tech services 1
adjunct instructor 1
hr manager 1
esthetician 1
nnp 1
supervisor security specialist 1
project design engineer 1
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license practical nurse 1
animal groomer 1
transmission supervisor 1
telecommunications technician 1
retail associate manager 1
shipping coordinator 1
technical support engineer 1
utilization manager reviewer 1
director of bi and analytics 1
financial center manager 1
customer account analyst 1
automation engineering manager 1
maintenance/parts 1
senior staff analysy 1
engineering manager 1
director of human resources 1
boilers operator 1
construction laborer 1
payroll tech 1
commercial driver 1
facility maintanace 1
mro supervisor 1
director of nursing 1
financial aide accounts technician 1
regional it security manager 1
training developer 1
radio operator 1
sr admin specialist 1
supeintendent 1
st fraud specialist 1
funding manager 1
corporate bookkeeper 1
forklift operator 1
motorman 1
account receivables 1
repairman 1
service technicia 1
professor/faculty media adviser 1
compliance / ops support 1
eligibility supervisor 1
store training manager 1
director of transportation 1
supervisor/installer 1
cardiac perfusionist 1
motor vehicle representative 1
account rep 1
supervisor tempering 1
sr client service associate 1
global sales director 1
special projects administrator 1
fumigation tech 1
membership associate 1
district judge 1
principal analyst 1
meat and poultry inspector 1
parts inspector 1
lot tech/porter 1
flight nurse 1
combo psc/hub 1
stamping quality control 1
project coordinator contractor 1
team lead 1
health plan data analytics 1
office services 1
nuclear medicine tech 1
middle school science teacher 1
lead tech 1
foundation executive 1
machanic 1
attorney/partner 1
surgery scheduler 1
legal assistant & payroll 1
veterans counselor 1
prep & flow team leader 1
cell director/operator_3 1
social worker sercoordinator 1
tenant services director 1
justice of the peace judge 1
ui ux designer 1
orthodontist, owner 1
receptionist/clerk 1
team leader 1
vp client services 1
nuclear medicine tech 1
retail store manager 1
technical support specialist 1
scientist 1
operations manager - core 1
mechanic shop foreman 1
office manager/legal assistant 1
patent attorney 1
senior vp contact center operations na 1
concrete placement 1
c&su program administrator 1
director of technology 1
system admin 1
evidence technician 1
senior detention officer 1
sr crew member 1
finance assistant 1
director of accounting 1
master trainer 1
maintenance technician 1
director of global sourcing 1
processing supervisor 1
lead wingman 1
cna/hha hospice 1
assistant general counsel 1
senior film processor 1
valet 1
fraud rep 1
beer lead 1
business office coordinator 1
program anaylst 1
customer relations 1
assembler 2 1
dds 1
bindery machine operator 1
irrigation tech 1
packaging 1
sfc 1
5th year apprentice 1
head of business development 1
sales/photographer 1
field support revenue accountant 1
sr software developer 1
teacher and district librarian 1
pse mail processing clerk 1
lab tester 1
fa 1
princioal 1
correctional counselo iii 1
cardiovascular technologist 1
managed repair representative 1
communication design 1
cook-bloomfield, meat associate walmart 1
documentation specialist 1
technicician 2 1
director of business & economic develop 1
customer service associate 1
complex ops associate 1
asmbler 1
software engineer ii 1
care advocate 1
certified registered nurse anesthestist 1
sales department 1
tool supervisor 1
community relations 1
bar manager 1
retention 1
senior advisor architecture 1
personal asst 1
surgical assistant 1
national director military division 1
private equity analyst 1
helper 1
videographer 1
sr info security analyst 1
senior legal counsel 1
pe teaching fellow 1
sr clinical applications analyst 1
junior accountant 1
transplant coordinator 1
ceo & president 1
cvs analyst 1
accounts receivable 1
chief scientist 1
patient representative 1
sales operations 1
building technican 1
lab tech trainer 1
tea2 1
msgt 1
medical technologistt 1
sr millwright 1
tmf specialist 1
general surgery resident 1
call center supervisor 1
turban operator 1
rural mail carrier 1
human services specialist iii 1
asst branch manager 1
sales ins agent 1
legal collector 1
supervisor transportation security offic 1
online developer 1
production planner 1
owner services manager 1
tractor trailer driver 1
local support provider iii 1
technical rep 1
water system foreman 1
perishables assistant 1
underwriting service specialist 1
press brake operator 1
business development 1
it lead 1
phelbotomist 1
gas service tech 1
commercial lender 1
sr claims adjustor 1
inventory control mgr 1
ld teacher computer science 1
wic manager 1
mechanical maintenance 1
payroll manager/ar 1
lead tradesman 1
simpsonville campus admin 1
director-owner 1
special education paraprofessional 1
hvac installer 1
scheduling manager 1
director of quality 1
national registrar 1
sr business specialist 1
loan originator assistant 1
store management 1
nurse case manager 1
postdoctoral fellow 1
vp, operations 1
clinical advisor behavirol health 1
hydrogeologist 1
tow boat pilot 1
school secretary 1
lead graphic designer 1
account services representative 1
billing coordinator 1
recruiting coordinator & sourcer 1
senior social worker 1
registered nurse / emergency dept 1
director of housekeeping 1
pt specialist 1
military police 1
customer service re 1
gneral manager 1
patient access 1
solution architect 1
dpw supervisor 1
ed 1
rating veterans service representative 1
c n a 1
splicer 1
assistant business agent 1
licensed sales professional 1
rn director 1
advanced refining inspector 1
signing instructional 1
supply chain 1
it helpdesk support 1
executive receptionint 1
project administrator 1
lp nurse 1
human resources business partner 1
commercial receivable specialist 1
hospice nurse 1
night merch 1
equipment mechanic 1
sonographer 1
children's social worker 1
service writer 1
correctional sergeant 1
culity control 1
service deli 1
inflight 1
quality assurance tech 1
gulf coast territorial manager 1
head athletic trainer 1
program project manager 1
inventory cordinator 1
product development chemist 1
sr pm 1
service engineer 1
director of business dev 1
sr it manager 1
health professions recruiter 1
rn, clinical coordinator 1
comfort consultant 1
owner/consultant 1
material ro 1
senior director 1
test technician 1
learning strategist 1
compliance officer 1
intelligent analyst 1
senior computer operator 1
senior designer 1
rv tech 1
financial manager 1
environmental service 1
chief marketing officer 1
coal miner 1
senior linguist 1
senior field engineer 1
cash poster 1
senior government underwriter 1
dealer success consultant 1
treatment advocate 1
boat captain 1
service techician 1
uber driver 1
hr recruitment 1
discharge planner 1
recreational therapist 1
asst bartender / food runner 1
senior integrator sales 1
locomotive engineer 1
managers 1
sr director, procurement/attorney 1
academic affairs coordinator 1
phlebotomy supervisor 1
corporate tax director 1
captain-fire department 1
intervention specialist 1
coffee roaster 1
toolmaker 1
Name: count, dtype: int64
Proportions:
emp_title
manager 0.023781
owner 0.022254
teacher 0.021926
driver 0.013418
sales 0.010581
registered nurse 0.009600
rn 0.008727
supervisor 0.008618
truck driver 0.006872
office manager 0.006654
president 0.005891
general manager 0.005563
project manager 0.005454
engineer 0.005018
director 0.005018
operations manager 0.004691
nurse 0.003600
software engineer 0.003273
sales manager 0.003273
technician 0.003164
account manager 0.003164
owner 0.003164
accountant 0.003164
analyst 0.003054
machine operator 0.003054
server 0.002945
mechanic 0.002945
ceo 0.002618
foreman 0.002618
consultant 0.002618
supervisor 0.002509
vice president 0.002509
attorney 0.002509
police officer 0.002400
manager 0.002291
store manager 0.002182
director of operations 0.002182
administrative assistant 0.002073
cook 0.002073
social worker 0.001964
customer service 0.001964
maintenance 0.001964
professor 0.001964
branch manager 0.001964
counselor 0.001854
executive assistant 0.001854
secretary 0.001854
welder 0.001854
operator 0.001854
assistant manager 0.001854
bartender 0.001854
administrator 0.001854
it manager 0.001854
electrician 0.001854
clerk 0.001745
paralegal 0.001745
realtor 0.001745
teacher 0.001636
program manager 0.001636
registered nurse 0.001636
service manager 0.001636
bus driver 0.001527
controller 0.001527
medical assistant 0.001527
loan officer 0.001527
carpenter 0.001527
executive director 0.001418
principal 0.001418
cna 0.001418
cashier 0.001418
designer 0.001309
sales consultant 0.001309
lpn 0.001309
security officer 0.001309
pharmacist 0.001309
captain 0.001309
account executive 0.001309
chef 0.001309
receptionist 0.001200
partner 0.001200
management 0.001200
mechanic 0.001200
delivery driver 0.001200
sales 0.001091
driver 0.001091
officer 0.001091
business analyst 0.001091
correctional officer 0.001091
instructor 0.001091
physician 0.001091
maintenance 0.001091
warehouse 0.001091
service tech 0.001091
legal assistant 0.001091
laborer 0.000982
team leader 0.000982
assistant professor 0.000982
associate 0.000982
customer service rep 0.000982
superintendent 0.000982
nurse practitioner 0.000982
it specialist 0.000982
administrative assistant 0.000982
district manager 0.000982
bookkeeper 0.000982
truck driver 0.000982
pilot 0.000873
finance manager 0.000873
sales representative 0.000873
project manager 0.000873
graphic designer 0.000873
machinist 0.000873
corrections officer 0.000873
case manager 0.000873
underwriter 0.000873
stocker 0.000873
firefighter 0.000873
customer service 0.000873
financial analyst 0.000873
project engineer 0.000873
deputy sheriff 0.000873
service technician 0.000873
cfo 0.000873
flight attendant 0.000873
marketing 0.000873
agent 0.000873
insurance agent 0.000873
nurse practitioner 0.000764
pharmacy technician 0.000764
senior manager 0.000764
superintendent 0.000764
director of sales 0.000764
therapist 0.000764
dental hygienist 0.000764
tech 0.000764
senior accountant 0.000764
plumber 0.000764
dispatcher 0.000764
financial advisor 0.000764
letter carrier 0.000764
admin 0.000764
cleaner 0.000764
production manager 0.000764
physical therapist 0.000764
recruiter 0.000764
customer service manager 0.000764
assistant principal 0.000764
property manager 0.000764
pastor 0.000764
systems administrator 0.000764
sr project manager 0.000764
technician 0.000764
marketing manager 0.000764
regional manager 0.000764
forman 0.000655
mechanical engineer 0.000655
banker 0.000655
sr software engineer 0.000655
software developer 0.000655
systems engineer 0.000655
staff accountant 0.000655
vp 0.000655
foreman 0.000655
program analyst 0.000655
executive chef 0.000655
loan processor 0.000655
painter 0.000655
director 0.000655
managing director 0.000655
sales associate 0.000655
accounting 0.000655
teller 0.000655
physician assistant 0.000655
program director 0.000655
kitchen manager 0.000655
inspector 0.000655
educator 0.000655
equipment operator 0.000655
contractor 0.000655
stylist 0.000655
housekeeper 0.000655
maintenance supervisor 0.000655
management 0.000655
warehouse manager 0.000655
property manager 0.000655
area manager 0.000655
sales rep 0.000655
operator 0.000655
regional sales manager 0.000655
plant manager 0.000655
service technician 0.000655
senior engineer 0.000655
estimator 0.000655
deputy 0.000655
production 0.000655
receptionist 0.000655
credit analyst 0.000545
electrician 0.000545
field supervisor 0.000545
assembly 0.000545
owner operator 0.000545
carpenter 0.000545
customer service representative 0.000545
office administrator 0.000545
sales manager 0.000545
investigator 0.000545
installer 0.000545
data analyst 0.000545
dental assistant 0.000545
custodian 0.000545
coordinator 0.000545
business manager 0.000545
assembler 0.000545
shipping 0.000545
national sales manager 0.000545
waitress 0.000545
assistant 0.000545
auditor 0.000545
quality control 0.000545
construction manager 0.000545
administrative 0.000545
principal consultant 0.000545
mail carrier 0.000545
faculty 0.000545
personal banker 0.000545
it 0.000545
massage therapist 0.000545
courier 0.000545
hr specialist 0.000545
data entry 0.000545
program coordinator 0.000545
senior consultant 0.000545
assistant director 0.000545
maintenance tech 0.000545
material handler 0.000545
assistant store manager 0.000545
table games dealer 0.000545
medical assistant 0.000545
social worker 0.000545
product manager 0.000545
senior software engineer 0.000436
network engineer 0.000436
barista 0.000436
special education teacher 0.000436
lab tech 0.000436
book keeper 0.000436
sales associate 0.000436
hair stylist 0.000436
nanny 0.000436
sales engineer 0.000436
legal secretary 0.000436
architect 0.000436
project coordinator 0.000436
operating engineer 0.000436
librarian 0.000436
customer success manager 0.000436
marketing coordinator 0.000436
administration 0.000436
chemist 0.000436
owner / operator 0.000436
field service engineer 0.000436
account manager 0.000436
department manager 0.000436
registrar 0.000436
electrical engineer 0.000436
pharmacist 0.000436
senior analyst 0.000436
sales director 0.000436
claims adjuster 0.000436
mail handler 0.000436
associate professor 0.000436
computer technician 0.000436
shift manager 0.000436
director of finance 0.000436
court reporter 0.000436
hr director 0.000436
detailer 0.000436
human resources manager 0.000436
rural carrier 0.000436
marketing director 0.000436
programmer analyst 0.000436
assistant manager 0.000436
admin assistant 0.000436
director of nursing 0.000436
paramedic 0.000436
cpa 0.000436
auto tech 0.000436
network technician 0.000436
sr manager 0.000436
finance 0.000436
relationship manager 0.000436
register nurse 0.000436
school counselor 0.000436
pharmacy technician 0.000436
csr 0.000436
customer service agent 0.000436
systems analyst 0.000436
housekeeping 0.000436
programmer 0.000436
respiratory therapist 0.000436
school bus driver 0.000436
grocery clerk 0.000436
labor 0.000436
president 0.000436
territory manager 0.000436
pipefitter 0.000436
heavy equipment operator 0.000436
owner/operator 0.000436
inside sales 0.000436
shipping manager 0.000436
cashier 0.000436
accounting manager 0.000436
police 0.000436
readiness nco 0.000327
elevator mechanic 0.000327
communications 0.000327
clinical manager 0.000327
attorney 0.000327
recruiter 0.000327
teacher/coach 0.000327
certified medical assistant 0.000327
automotive technician 0.000327
executive assistant 0.000327
lead architect 0.000327
technical support 0.000327
executive 0.000327
pca 0.000327
vp of operations 0.000327
appraiser 0.000327
svp 0.000327
billing specialist 0.000327
business analyst 0.000327
logistics 0.000327
hha 0.000327
database administrator 0.000327
care giver 0.000327
lvn 0.000327
trainer 0.000327
lead teacher 0.000327
lead 0.000327
sales person 0.000327
accounting 0.000327
lease operator 0.000327
solutions architect 0.000327
nursing 0.000327
specialist 0.000327
hr supervisor 0.000327
fire fighter 0.000327
security guard 0.000327
police officer 0.000327
support manager 0.000327
assistant parts manager 0.000327
nurse manager 0.000327
bus operator 0.000327
audit manager 0.000327
baker 0.000327
correction officer 0.000327
principal engineer 0.000327
scheduler 0.000327
co owner 0.000327
co-owner 0.000327
warehouse supervisor 0.000327
senior vice president 0.000327
cdl driver 0.000327
medical records 0.000327
music teacher 0.000327
quality manager 0.000327
sergeant first class 0.000327
phlebotomist 0.000327
sr developer 0.000327
security supervisor 0.000327
purchasing manager 0.000327
staff rn 0.000327
conductor 0.000327
information technology 0.000327
patrolman 0.000327
photographer 0.000327
owner/manager 0.000327
system administrator 0.000327
hr coordinator 0.000327
marketing director 0.000327
pta 0.000327
service director 0.000327
store manager 0.000327
processor 0.000327
billing clerk 0.000327
branch manager 0.000327
physician 0.000327
maintenance mechanic 0.000327
accounting clerk 0.000327
assistant vice president 0.000327
surgical tech 0.000327
safety manager 0.000327
plant manager 0.000327
administrative secretary 0.000327
special agent 0.000327
qa analyst 0.000327
senior project manager 0.000327
doorman 0.000327
hr manager 0.000327
sales executive 0.000327
coo 0.000327
parts manager 0.000327
purchasing 0.000327
pharmacy manager 0.000327
lead engineer 0.000327
principal 0.000327
accountant 0.000327
medical doctor 0.000327
home health aide 0.000327
editor 0.000327
sergeant 0.000327
occupational therapist 0.000327
handyman 0.000327
server 0.000327
soldier 0.000327
quality assurance 0.000327
receiving clerk 0.000327
accounts payable 0.000327
officer 0.000327
district manager 0.000327
engineering project manager 0.000327
caregiver 0.000327
personal trainer 0.000327
network administrator 0.000327
service advisor 0.000327
office assistant 0.000327
claims specialist 0.000327
deputy clerk 0.000327
machine operator 0.000327
executive director 0.000327
senior account manager 0.000327
president & ceo 0.000327
city carrier 0.000327
shift supervisor 0.000327
loan officer assistant 0.000327
accounting assistant 0.000327
machinist 0.000327
road driver 0.000327
admin asst 0.000327
site manager 0.000327
practice manager 0.000327
paraprofessional 0.000327
assistant general manager 0.000327
production tech 0.000327
sous chef 0.000327
general manager 0.000327
construction worker 0.000327
process engineer 0.000327
sales consultant 0.000327
team member 0.000327
court officer 0.000327
senior loan officer 0.000327
safety coordinator 0.000327
software architect 0.000327
dock worker 0.000327
shop manager 0.000327
senior associate 0.000327
math teacher 0.000327
security 0.000327
dentist 0.000327
office manager 0.000327
forklift operator 0.000327
lieutenant 0.000327
food server 0.000327
asst manager 0.000218
customer service manager 0.000218
accounts payable specialist 0.000218
advisor 0.000218
project specialist 0.000218
business consultant 0.000218
director of business affairs 0.000218
head of finance 0.000218
locksmith 0.000218
project accountant 0.000218
nail tech 0.000218
division chief 0.000218
it consultant 0.000218
deli manager 0.000218
solution architect 0.000218
science teacher 0.000218
rda 0.000218
patient access 0.000218
therapist 0.000218
accounting associate 0.000218
import agent 0.000218
director of property management 0.000218
quality 0.000218
business office manager 0.000218
sr network engineer 0.000218
retail 0.000218
technical support specialist 0.000218
parts sales 0.000218
guidance counselor 0.000218
merchandiser 0.000218
quality assurance manager 0.000218
accounts receivable 0.000218
pricing 0.000218
heavy equipment operator 0.000218
concierge 0.000218
detective 0.000218
budget analyst 0.000218
corporal 0.000218
sergeant 0.000218
team manager 0.000218
shipping and receiving 0.000218
assistant 0.000218
assistant bakery manager 0.000218
traffic manager 0.000218
registered dietitian 0.000218
chaplain 0.000218
civil engineer 0.000218
human resources 0.000218
management analyst 0.000218
managing member 0.000218
radiology manager 0.000218
mortgage closer 0.000218
it technician 0.000218
facility manager 0.000218
technition 0.000218
rn case manager 0.000218
assistant prosecutor 0.000218
controller 0.000218
comptroller 0.000218
house keeping 0.000218
boss 0.000218
claims examiner 0.000218
collector 0.000218
mortgage loan officer 0.000218
owner/president 0.000218
military 0.000218
gm 0.000218
security 0.000218
auto technician 0.000218
ct tech 0.000218
forman 0.000218
technical specialist 0.000218
manufacturing engineer 0.000218
crane operator 0.000218
bus operator 0.000218
software consultant 0.000218
executive producer 0.000218
contracts manager 0.000218
superintendant 0.000218
vice president of sales 0.000218
claims rep 0.000218
sales mgr 0.000218
sr account executive 0.000218
assistant district attorney 0.000218
salesman 0.000218
mortgage underwriter 0.000218
crew 0.000218
receiving 0.000218
landscaper 0.000218
barber 0.000218
substitute teacher 0.000218
medical director 0.000218
control room operator 0.000218
studio manager 0.000218
server engineer 0.000218
library specialist 0.000218
janitor 0.000218
sr systems engineer 0.000218
billing supervisor 0.000218
emt 0.000218
aircraft technician 0.000218
president/owner 0.000218
field service technician 0.000218
automotive technician 0.000218
it analyst 0.000218
research associate 0.000218
aviation safety inspector 0.000218
engineer 0.000218
military officer 0.000218
equipment operator 0.000218
network tech 0.000218
director of operations 0.000218
sr web developer 0.000218
planner 0.000218
assistant property manager 0.000218
food service director 0.000218
maintenance technician 0.000218
operations manager 0.000218
commodity broker 0.000218
engineering technician 0.000218
software support engineer 0.000218
communications specialist 0.000218
travel agent 0.000218
professional truck driver 0.000218
labor 0.000218
charge nurse 0.000218
broker/realtor 0.000218
clerical 0.000218
psychologist 0.000218
fire captain 0.000218
director of it 0.000218
sr operations analyst 0.000218
bartender 0.000218
help desk 0.000218
area sales manager 0.000218
regional controller 0.000218
speech pathologist 0.000218
buyer 0.000218
care coordinator 0.000218
air traffic controller 0.000218
senior systems architect 0.000218
vp finance 0.000218
software engineer 0.000218
general sales manager 0.000218
production specialist 0.000218
certified pharmacy tech 0.000218
office work 0.000218
restaurant manager 0.000218
escrow officer 0.000218
paramedic 0.000218
manufacturing associate 0.000218
branch service manager 0.000218
revenue manager 0.000218
finance director 0.000218
client service rep 0.000218
operations supervisor 0.000218
chief operating officer 0.000218
licensed vocational nurse 0.000218
sales representative 0.000218
shop forman 0.000218
admissions counselor 0.000218
front office coordinator 0.000218
associate attorney 0.000218
family support worker 0.000218
implementation consultant 0.000218
marketing specialist 0.000218
collections 0.000218
graphic artist 0.000218
sushi chef 0.000218
overnight stocker 0.000218
project mgr 0.000218
maintenance engineer 0.000218
janitor 0.000218
department lead 0.000218
csp 0.000218
sole proprietor 0.000218
senior business analyst 0.000218
group leader 0.000218
process technician 0.000218
director of administration 0.000218
ramp agent 0.000218
production operator 0.000218
retail manager 0.000218
quality control manager 0.000218
route salesman 0.000218
credit manager 0.000218
csa 0.000218
development officer 0.000218
maint 0.000218
warehouse associate 0.000218
nursing assistant 0.000218
leadman 0.000218
payroll mgr 0.000218
district sales manager 0.000218
treasurer 0.000218
nurse anesthetist 0.000218
press operator 0.000218
construction inspector 0.000218
inspector 0.000218
feeder driver 0.000218
welder 0.000218
warehouse worker 0.000218
home health aid 0.000218
meat manager 0.000218
cad manager 0.000218
financial director 0.000218
asst manager 0.000218
transportation supervisor 0.000218
actuary 0.000218
legal assistant 0.000218
sourcing manager 0.000218
key holder 0.000218
dealer 0.000218
nurse 0.000218
tool and die maker 0.000218
teaching assistant 0.000218
assistant professor 0.000218
fulfillment associate 0.000218
crew leader 0.000218
medical coder 0.000218
correctional officer 0.000218
respiratory therapist 0.000218
business development manager 0.000218
weighmaster 0.000218
communications manager 0.000218
senior system engineer 0.000218
assistant branch manager 0.000218
line cook 0.000218
firefighter 0.000218
maintenance director 0.000218
medical technologist 0.000218
physical therapist assistant 0.000218
porter 0.000218
training manager 0.000218
tech 0.000218
web developer 0.000218
creative director 0.000218
physical therapist assistant 0.000218
inside sales representative 0.000218
line lead 0.000218
senior programmer analyst 0.000218
staff 0.000218
cnc programmer 0.000218
school administrator 0.000218
dental assistant 0.000218
parts mgr 0.000218
personal trainer 0.000218
journeyman 0.000218
crane operator 0.000218
zone manager 0.000218
warehouse 0.000218
technical account manager 0.000218
accounts receivable manager 0.000218
maintenance technician 0.000218
senior data engineer 0.000218
crna 0.000218
corporate recruiter 0.000218
operation manager 0.000218
production scheduler 0.000218
pharmacy tech 0.000218
sales agent 0.000218
it support 0.000218
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vp enrollment 0.000109
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surveyor 0.000109
qulity specialists 0.000109
sprinkler fitter 0.000109
freight worker 0.000109
wine steward 0.000109
rn 0.000109
digital ad ops manager 0.000109
assistant teacher 0.000109
medical billing 0.000109
parts dept 0.000109
hardware analyst 2 0.000109
tire technician 0.000109
lead technologist 0.000109
building maintenance 0.000109
senior chemist ii 0.000109
law enforcement records tech 0.000109
set up technician 0.000109
estimating coordinator 0.000109
tile tech 0.000109
education and design analyst 0.000109
warehouse supervisior 0.000109
director of surgical av 0.000109
facility maintenance 0.000109
human resource sergeant 0.000109
showroom manager 0.000109
customer management 0.000109
principal user experience engineer 0.000109
millwright 0.000109
maint mannager 0.000109
case manager 0.000109
federal work-study 0.000109
project manager/ developer 0.000109
digital content specialist 0.000109
technical support manager 0.000109
tech suppo 0.000109
loan originator 0.000109
technology coordinator 0.000109
assistant teacher 0.000109
security tech 0.000109
assistant managee 0.000109
automation engineer 0.000109
system manager, quality- rn 0.000109
loan administrator 0.000109
cooler service technician 0.000109
unit clerk 0.000109
project lead in it 0.000109
communication agent 0.000109
construction inspector ii 0.000109
executive assistant to the dean 0.000109
senior regional property manager 0.000109
developmental specialist 0.000109
maintenance mechanic/control specialist 0.000109
territorial sales rep 0.000109
principal customer care analyst 0.000109
concierge specialist 0.000109
it system administrator 0.000109
mamager 0.000109
landfill attendant 0.000109
farm manager 0.000109
pre verification specialist 0.000109
certified nurse assistant 0.000109
fork lift driver 0.000109
receptionist, intake,driver 0.000109
director, enterprise solutions 0.000109
machinen operarto cnc 0.000109
licensed optician 0.000109
sr shelf edge analyst 0.000109
itd 0.000109
electronics technician 0.000109
assistant store manager 0.000109
cantor 0.000109
software tech 0.000109
butcher 0.000109
civil engineer 2 0.000109
wheel tech 0.000109
network operations center analyst 0.000109
ramp lead 0.000109
staffing consultant 0.000109
associate project manager 0.000109
assistant head 0.000109
writer producer scripps interactive 0.000109
principal secretary 0.000109
painter/blaster 0.000109
oven operator 0.000109
teachrr 0.000109
yard driver 0.000109
city councilor 0.000109
quality review specialist 0.000109
glazier 0.000109
executive admin 0.000109
training specialist 0.000109
e-9 0.000109
medical dosimetrist 0.000109
instructor asst 0.000109
a&p technician 0.000109
proofreader 0.000109
detention transportion officer 0.000109
senior closer 0.000109
centrel supply manager 0.000109
evs lead 0.000109
project support manager 0.000109
biller and collector 0.000109
freelance electrician 0.000109
carpenter foreman 0.000109
medical coding auditor 0.000109
atm technician 0.000109
vp of automotive operations 0.000109
juvenile probation officer 0.000109
system analyst 0.000109
fund operations analyst 0.000109
early collector 0.000109
mgmt 0.000109
cna/hha 0.000109
contract specialist ii 0.000109
senior communications specialist 0.000109
insurance broker 0.000109
sandblaster 0.000109
claims imaging technician 0.000109
architectural detailer 0.000109
stylest 0.000109
program director 0.000109
cyber specialist 0.000109
head teller 0.000109
planning asso 0.000109
client service rep ii 0.000109
general maintenance iii 0.000109
underwriter/agent 0.000109
front desk receptionist guard 0.000109
automotive mechanic 0.000109
lead respiratory therapist 0.000109
service department manager 0.000109
licensing specialist 0.000109
client services mgr 0.000109
ceo/vp of opns 0.000109
asistence eng 0.000109
practice specialist 0.000109
sr planning & analysis anst 0.000109
training manager 0.000109
plant protection technician 0.000109
tooling designer 0.000109
buyer i 0.000109
time and travel coordinator 0.000109
sr financial analyst 0.000109
storeroom attendant 0.000109
night shift associate 0.000109
sr network administrator 0.000109
vp security specialist 0.000109
program chair 0.000109
family nurse practitioner 0.000109
law enforcement 0.000109
barach manager 0.000109
health care 0.000109
sales/front-line underwriting 0.000109
senior juvenile institutions officer 0.000109
partner attorney 0.000109
lead parts technician 0.000109
assistant complex manager 0.000109
financial aid counselor 0.000109
parts technician 0.000109
managet 0.000109
psychiatric social clerk i 0.000109
sanitation specialist 0.000109
category gaming manager 0.000109
expo, cashier, shift lead 0.000109
supply technician 0.000109
systems administrator 0.000109
hvac tech 0.000109
driver/ 0.000109
banquets setup supervisor 0.000109
general partner 0.000109
district level administor 0.000109
supervisor spd 0.000109
registered nurse supervisor 0.000109
admission's co-ordinator 0.000109
director of training 0.000109
firefighter emt 0.000109
appliance specialist 0.000109
cmo 0.000109
configuration analyst 0.000109
system director 0.000109
rc 0.000109
21 dealer 0.000109
custom protection officer 0.000109
lvnurse 0.000109
project architect 0.000109
executive vp 0.000109
hr mgr 0.000109
senior legistics 0.000109
fragrance specialist 0.000109
eligibility specialist 0.000109
a,b operater 0.000109
key accounts manager 0.000109
senior customer care associate 0.000109
attraction attendant 0.000109
computer operator specialist 0.000109
welding foreman 0.000109
medication aide 0.000109
veterans technician 0.000109
asst terminal manager 0.000109
administrative assistant ii 0.000109
eligibility 0.000109
test engineer 0.000109
cems technician 0.000109
dir of tech services 0.000109
adjunct instructor 0.000109
hr manager 0.000109
esthetician 0.000109
nnp 0.000109
supervisor security specialist 0.000109
project design engineer 0.000109
banquet supervisor 0.000109
license practical nurse 0.000109
animal groomer 0.000109
transmission supervisor 0.000109
telecommunications technician 0.000109
retail associate manager 0.000109
shipping coordinator 0.000109
technical support engineer 0.000109
utilization manager reviewer 0.000109
director of bi and analytics 0.000109
financial center manager 0.000109
customer account analyst 0.000109
automation engineering manager 0.000109
maintenance/parts 0.000109
senior staff analysy 0.000109
engineering manager 0.000109
director of human resources 0.000109
boilers operator 0.000109
construction laborer 0.000109
payroll tech 0.000109
commercial driver 0.000109
facility maintanace 0.000109
mro supervisor 0.000109
director of nursing 0.000109
financial aide accounts technician 0.000109
regional it security manager 0.000109
training developer 0.000109
radio operator 0.000109
sr admin specialist 0.000109
supeintendent 0.000109
st fraud specialist 0.000109
funding manager 0.000109
corporate bookkeeper 0.000109
forklift operator 0.000109
motorman 0.000109
account receivables 0.000109
repairman 0.000109
service technicia 0.000109
professor/faculty media adviser 0.000109
compliance / ops support 0.000109
eligibility supervisor 0.000109
store training manager 0.000109
director of transportation 0.000109
supervisor/installer 0.000109
cardiac perfusionist 0.000109
motor vehicle representative 0.000109
account rep 0.000109
supervisor tempering 0.000109
sr client service associate 0.000109
global sales director 0.000109
special projects administrator 0.000109
fumigation tech 0.000109
membership associate 0.000109
district judge 0.000109
principal analyst 0.000109
meat and poultry inspector 0.000109
parts inspector 0.000109
lot tech/porter 0.000109
flight nurse 0.000109
combo psc/hub 0.000109
stamping quality control 0.000109
project coordinator contractor 0.000109
team lead 0.000109
health plan data analytics 0.000109
office services 0.000109
nuclear medicine tech 0.000109
middle school science teacher 0.000109
lead tech 0.000109
foundation executive 0.000109
machanic 0.000109
attorney/partner 0.000109
surgery scheduler 0.000109
legal assistant & payroll 0.000109
veterans counselor 0.000109
prep & flow team leader 0.000109
cell director/operator_3 0.000109
social worker sercoordinator 0.000109
tenant services director 0.000109
justice of the peace judge 0.000109
ui ux designer 0.000109
orthodontist, owner 0.000109
receptionist/clerk 0.000109
team leader 0.000109
vp client services 0.000109
nuclear medicine tech 0.000109
retail store manager 0.000109
technical support specialist 0.000109
scientist 0.000109
operations manager - core 0.000109
mechanic shop foreman 0.000109
office manager/legal assistant 0.000109
patent attorney 0.000109
senior vp contact center operations na 0.000109
concrete placement 0.000109
c&su program administrator 0.000109
director of technology 0.000109
system admin 0.000109
evidence technician 0.000109
senior detention officer 0.000109
sr crew member 0.000109
finance assistant 0.000109
director of accounting 0.000109
master trainer 0.000109
maintenance technician 0.000109
director of global sourcing 0.000109
processing supervisor 0.000109
lead wingman 0.000109
cna/hha hospice 0.000109
assistant general counsel 0.000109
senior film processor 0.000109
valet 0.000109
fraud rep 0.000109
beer lead 0.000109
business office coordinator 0.000109
program anaylst 0.000109
customer relations 0.000109
assembler 2 0.000109
dds 0.000109
bindery machine operator 0.000109
irrigation tech 0.000109
packaging 0.000109
sfc 0.000109
5th year apprentice 0.000109
head of business development 0.000109
sales/photographer 0.000109
field support revenue accountant 0.000109
sr software developer 0.000109
teacher and district librarian 0.000109
pse mail processing clerk 0.000109
lab tester 0.000109
fa 0.000109
princioal 0.000109
correctional counselo iii 0.000109
cardiovascular technologist 0.000109
managed repair representative 0.000109
communication design 0.000109
cook-bloomfield, meat associate walmart 0.000109
documentation specialist 0.000109
technicician 2 0.000109
director of business & economic develop 0.000109
customer service associate 0.000109
complex ops associate 0.000109
asmbler 0.000109
software engineer ii 0.000109
care advocate 0.000109
certified registered nurse anesthestist 0.000109
sales department 0.000109
tool supervisor 0.000109
community relations 0.000109
bar manager 0.000109
retention 0.000109
senior advisor architecture 0.000109
personal asst 0.000109
surgical assistant 0.000109
national director military division 0.000109
private equity analyst 0.000109
helper 0.000109
videographer 0.000109
sr info security analyst 0.000109
senior legal counsel 0.000109
pe teaching fellow 0.000109
sr clinical applications analyst 0.000109
junior accountant 0.000109
transplant coordinator 0.000109
ceo & president 0.000109
cvs analyst 0.000109
accounts receivable 0.000109
chief scientist 0.000109
patient representative 0.000109
sales operations 0.000109
building technican 0.000109
lab tech trainer 0.000109
tea2 0.000109
msgt 0.000109
medical technologistt 0.000109
sr millwright 0.000109
tmf specialist 0.000109
general surgery resident 0.000109
call center supervisor 0.000109
turban operator 0.000109
rural mail carrier 0.000109
human services specialist iii 0.000109
asst branch manager 0.000109
sales ins agent 0.000109
legal collector 0.000109
supervisor transportation security offic 0.000109
online developer 0.000109
production planner 0.000109
owner services manager 0.000109
tractor trailer driver 0.000109
local support provider iii 0.000109
technical rep 0.000109
water system foreman 0.000109
perishables assistant 0.000109
underwriting service specialist 0.000109
press brake operator 0.000109
business development 0.000109
it lead 0.000109
phelbotomist 0.000109
gas service tech 0.000109
commercial lender 0.000109
sr claims adjustor 0.000109
inventory control mgr 0.000109
ld teacher computer science 0.000109
wic manager 0.000109
mechanical maintenance 0.000109
payroll manager/ar 0.000109
lead tradesman 0.000109
simpsonville campus admin 0.000109
director-owner 0.000109
special education paraprofessional 0.000109
hvac installer 0.000109
scheduling manager 0.000109
director of quality 0.000109
national registrar 0.000109
sr business specialist 0.000109
loan originator assistant 0.000109
store management 0.000109
nurse case manager 0.000109
postdoctoral fellow 0.000109
vp, operations 0.000109
clinical advisor behavirol health 0.000109
hydrogeologist 0.000109
tow boat pilot 0.000109
school secretary 0.000109
lead graphic designer 0.000109
account services representative 0.000109
billing coordinator 0.000109
recruiting coordinator & sourcer 0.000109
senior social worker 0.000109
registered nurse / emergency dept 0.000109
director of housekeeping 0.000109
pt specialist 0.000109
military police 0.000109
customer service re 0.000109
gneral manager 0.000109
patient access 0.000109
solution architect 0.000109
dpw supervisor 0.000109
ed 0.000109
rating veterans service representative 0.000109
c n a 0.000109
splicer 0.000109
assistant business agent 0.000109
licensed sales professional 0.000109
rn director 0.000109
advanced refining inspector 0.000109
signing instructional 0.000109
supply chain 0.000109
it helpdesk support 0.000109
executive receptionint 0.000109
project administrator 0.000109
lp nurse 0.000109
human resources business partner 0.000109
commercial receivable specialist 0.000109
hospice nurse 0.000109
night merch 0.000109
equipment mechanic 0.000109
sonographer 0.000109
children's social worker 0.000109
service writer 0.000109
correctional sergeant 0.000109
culity control 0.000109
service deli 0.000109
inflight 0.000109
quality assurance tech 0.000109
gulf coast territorial manager 0.000109
head athletic trainer 0.000109
program project manager 0.000109
inventory cordinator 0.000109
product development chemist 0.000109
sr pm 0.000109
service engineer 0.000109
director of business dev 0.000109
sr it manager 0.000109
health professions recruiter 0.000109
rn, clinical coordinator 0.000109
comfort consultant 0.000109
owner/consultant 0.000109
material ro 0.000109
senior director 0.000109
test technician 0.000109
learning strategist 0.000109
compliance officer 0.000109
intelligent analyst 0.000109
senior computer operator 0.000109
senior designer 0.000109
rv tech 0.000109
financial manager 0.000109
environmental service 0.000109
chief marketing officer 0.000109
coal miner 0.000109
senior linguist 0.000109
senior field engineer 0.000109
cash poster 0.000109
senior government underwriter 0.000109
dealer success consultant 0.000109
treatment advocate 0.000109
boat captain 0.000109
service techician 0.000109
uber driver 0.000109
hr recruitment 0.000109
discharge planner 0.000109
recreational therapist 0.000109
asst bartender / food runner 0.000109
senior integrator sales 0.000109
locomotive engineer 0.000109
managers 0.000109
sr director, procurement/attorney 0.000109
academic affairs coordinator 0.000109
phlebotomy supervisor 0.000109
corporate tax director 0.000109
captain-fire department 0.000109
intervention specialist 0.000109
coffee roaster 0.000109
toolmaker 0.000109
Name: proportion, dtype: float64
--------------------------------------------------
Analysis for state:
Unique Levels: ['NJ' 'HI' 'WI' 'PA' 'CA' 'KY' 'MI' 'AZ' 'NV' 'IL' 'FL' 'SC' 'CO' 'TN'
'TX' 'VA' 'NY' 'GA' 'MO' 'AR' 'MD' 'NC' 'NE' 'WV' 'NH' 'UT' 'DE' 'MA'
'OR' 'OH' 'OK' 'SD' 'MN' 'AL' 'WY' 'LA' 'IN' 'KS' 'MS' 'WA' 'ME' 'VT'
'CT' 'NM' 'AK' 'MT' 'RI' 'ND' 'DC' 'ID']
Counts:
state
CA 1330
TX 806
NY 793
FL 732
IL 382
NJ 338
OH 338
GA 334
NC 299
PA 298
VA 261
AZ 255
MD 247
MI 245
MA 237
CO 235
WA 235
CT 181
IN 178
TN 167
MN 159
MO 159
NV 158
SC 145
OR 130
WI 128
AL 122
KY 97
LA 96
KS 89
OK 81
MS 72
AR 70
WV 68
UT 61
NE 56
RI 53
NH 47
NM 43
ID 38
HI 35
AK 33
ME 26
DE 24
MT 24
VT 23
SD 20
WY 19
DC 19
ND 14
Name: count, dtype: int64
Proportions:
state
CA 0.1330
TX 0.0806
NY 0.0793
FL 0.0732
IL 0.0382
NJ 0.0338
OH 0.0338
GA 0.0334
NC 0.0299
PA 0.0298
VA 0.0261
AZ 0.0255
MD 0.0247
MI 0.0245
MA 0.0237
CO 0.0235
WA 0.0235
CT 0.0181
IN 0.0178
TN 0.0167
MN 0.0159
MO 0.0159
NV 0.0158
SC 0.0145
OR 0.0130
WI 0.0128
AL 0.0122
KY 0.0097
LA 0.0096
KS 0.0089
OK 0.0081
MS 0.0072
AR 0.0070
WV 0.0068
UT 0.0061
NE 0.0056
RI 0.0053
NH 0.0047
NM 0.0043
ID 0.0038
HI 0.0035
AK 0.0033
ME 0.0026
DE 0.0024
MT 0.0024
VT 0.0023
SD 0.0020
WY 0.0019
DC 0.0019
ND 0.0014
Name: proportion, dtype: float64
--------------------------------------------------
Analysis for homeownership:
Unique Levels: ['MORTGAGE' 'RENT' 'OWN']
Counts:
homeownership
MORTGAGE 4789
RENT 3858
OWN 1353
Name: count, dtype: int64
Proportions:
homeownership
MORTGAGE 0.4789
RENT 0.3858
OWN 0.1353
Name: proportion, dtype: float64
--------------------------------------------------
Analysis for verified_income:
Unique Levels: ['Verified' 'Not Verified' 'Source Verified']
Counts:
verified_income
Source Verified 4116
Not Verified 3594
Verified 2290
Name: count, dtype: int64
Proportions:
verified_income
Source Verified 0.4116
Not Verified 0.3594
Verified 0.2290
Name: proportion, dtype: float64
--------------------------------------------------
Analysis for verification_income_joint:
Unique Levels: [nan 'Verified' 'Not Verified' 'Source Verified']
Counts:
verification_income_joint
Not Verified 611
Source Verified 499
Verified 345
Name: count, dtype: int64
Proportions:
verification_income_joint
Not Verified 0.419931
Source Verified 0.342955
Verified 0.237113
Name: proportion, dtype: float64
--------------------------------------------------
Analysis for loan_purpose:
Unique Levels: ['moving' 'debt_consolidation' 'other' 'credit_card' 'home_improvement'
'medical' 'house' 'small_business' 'car' 'major_purchase' 'vacation'
'renewable_energy']
Counts:
loan_purpose
debt_consolidation 5144
credit_card 2249
other 914
home_improvement 680
major_purchase 303
medical 162
house 151
car 131
small_business 125
moving 69
vacation 62
renewable_energy 10
Name: count, dtype: int64
Proportions:
loan_purpose
debt_consolidation 0.5144
credit_card 0.2249
other 0.0914
home_improvement 0.0680
major_purchase 0.0303
medical 0.0162
house 0.0151
car 0.0131
small_business 0.0125
moving 0.0069
vacation 0.0062
renewable_energy 0.0010
Name: proportion, dtype: float64
--------------------------------------------------
Analysis for application_type:
Unique Levels: ['individual' 'joint']
Counts:
application_type
individual 8505
joint 1495
Name: count, dtype: int64
Proportions:
application_type
individual 0.8505
joint 0.1495
Name: proportion, dtype: float64
--------------------------------------------------
Analysis for grade:
Unique Levels: ['C' 'D' 'A' 'B' 'F' 'E' 'G']
Counts:
grade
B 3037
C 2653
A 2459
D 1446
E 335
F 58
G 12
Name: count, dtype: int64
Proportions:
grade
B 0.3037
C 0.2653
A 0.2459
D 0.1446
E 0.0335
F 0.0058
G 0.0012
Name: proportion, dtype: float64
--------------------------------------------------
Analysis for sub_grade:
Unique Levels: ['C3' 'C1' 'D1' 'A3' 'C2' 'B5' 'C4' 'B2' 'B1' 'D3' 'F1' 'E5' 'A2' 'A5'
'A4' 'A1' 'D4' 'D5' 'B3' 'D2' 'E1' 'G1' 'B4' 'C5' 'E2' 'E4' 'F3' 'E3'
'F5' 'F2' 'F4' 'G4']
Counts:
sub_grade
B1 647
B2 638
B5 631
C1 597
B4 581
C2 572
A4 568
B3 540
A3 504
C4 503
C3 501
A5 485
C5 480
A2 480
A1 422
D2 323
D1 319
D3 311
D5 262
D4 231
E5 91
E4 73
E3 73
E2 57
E1 41
F1 31
G1 11
F3 9
F2 9
F4 5
F5 4
G4 1
Name: count, dtype: int64
Proportions:
sub_grade
B1 0.0647
B2 0.0638
B5 0.0631
C1 0.0597
B4 0.0581
C2 0.0572
A4 0.0568
B3 0.0540
A3 0.0504
C4 0.0503
C3 0.0501
A5 0.0485
C5 0.0480
A2 0.0480
A1 0.0422
D2 0.0323
D1 0.0319
D3 0.0311
D5 0.0262
D4 0.0231
E5 0.0091
E4 0.0073
E3 0.0073
E2 0.0057
E1 0.0041
F1 0.0031
G1 0.0011
F3 0.0009
F2 0.0009
F4 0.0005
F5 0.0004
G4 0.0001
Name: proportion, dtype: float64
--------------------------------------------------
Analysis for issue_month:
Unique Levels: ['Mar-2018' 'Feb-2018' 'Jan-2018']
Counts:
issue_month
Mar-2018 3617
Jan-2018 3395
Feb-2018 2988
Name: count, dtype: int64
Proportions:
issue_month
Mar-2018 0.3617
Jan-2018 0.3395
Feb-2018 0.2988
Name: proportion, dtype: float64
--------------------------------------------------
Analysis for loan_status:
Unique Levels: ['Current' 'Fully Paid' 'In Grace Period' 'Late (31-120 days)'
'Charged Off' 'Late (16-30 days)']
Counts:
loan_status
Current 9375
Fully Paid 447
In Grace Period 67
Late (31-120 days) 66
Late (16-30 days) 38
Charged Off 7
Name: count, dtype: int64
Proportions:
loan_status
Current 0.9375
Fully Paid 0.0447
In Grace Period 0.0067
Late (31-120 days) 0.0066
Late (16-30 days) 0.0038
Charged Off 0.0007
Name: proportion, dtype: float64
--------------------------------------------------
Analysis for initial_listing_status:
Unique Levels: ['whole' 'fractional']
Counts:
initial_listing_status
whole 8206
fractional 1794
Name: count, dtype: int64
Proportions:
initial_listing_status
whole 0.8206
fractional 0.1794
Name: proportion, dtype: float64
--------------------------------------------------
Analysis for disbursement_method:
Unique Levels: ['Cash' 'DirectPay']
Counts:
disbursement_method
Cash 9284
DirectPay 716
Name: count, dtype: int64
Proportions:
disbursement_method
Cash 0.9284
DirectPay 0.0716
Name: proportion, dtype: float64
--------------------------------------------------
total_rows = len(loans)
missing_values = loans.isna().sum()
missing_percentage = (missing_values / total_rows) * 100
missing_data = pd.DataFrame({
'Missing Values': missing_values,
'Percentage (%)': missing_percentage
})
missing_data| Missing Values | Percentage (%) | |
|---|---|---|
| emp_title | 833 | 8.33 |
| emp_length | 817 | 8.17 |
| state | 0 | 0.00 |
| homeownership | 0 | 0.00 |
| annual_income | 0 | 0.00 |
| verified_income | 0 | 0.00 |
| debt_to_income | 24 | 0.24 |
| annual_income_joint | 8505 | 85.05 |
| verification_income_joint | 8545 | 85.45 |
| debt_to_income_joint | 8505 | 85.05 |
| delinq_2y | 0 | 0.00 |
| months_since_last_delinq | 5658 | 56.58 |
| earliest_credit_line | 0 | 0.00 |
| inquiries_last_12m | 0 | 0.00 |
| total_credit_lines | 0 | 0.00 |
| open_credit_lines | 0 | 0.00 |
| total_credit_limit | 0 | 0.00 |
| total_credit_utilized | 0 | 0.00 |
| num_collections_last_12m | 0 | 0.00 |
| num_historical_failed_to_pay | 0 | 0.00 |
| months_since_90d_late | 7715 | 77.15 |
| current_accounts_delinq | 0 | 0.00 |
| total_collection_amount_ever | 0 | 0.00 |
| current_installment_accounts | 0 | 0.00 |
| accounts_opened_24m | 0 | 0.00 |
| months_since_last_credit_inquiry | 1271 | 12.71 |
| num_satisfactory_accounts | 0 | 0.00 |
| num_accounts_120d_past_due | 318 | 3.18 |
| num_accounts_30d_past_due | 0 | 0.00 |
| num_active_debit_accounts | 0 | 0.00 |
| total_debit_limit | 0 | 0.00 |
| num_total_cc_accounts | 0 | 0.00 |
| num_open_cc_accounts | 0 | 0.00 |
| num_cc_carrying_balance | 0 | 0.00 |
| num_mort_accounts | 0 | 0.00 |
| account_never_delinq_percent | 0 | 0.00 |
| tax_liens | 0 | 0.00 |
| public_record_bankrupt | 0 | 0.00 |
| loan_purpose | 0 | 0.00 |
| application_type | 0 | 0.00 |
| loan_amount | 0 | 0.00 |
| term | 0 | 0.00 |
| interest_rate | 0 | 0.00 |
| installment | 0 | 0.00 |
| grade | 0 | 0.00 |
| sub_grade | 0 | 0.00 |
| issue_month | 0 | 0.00 |
| loan_status | 0 | 0.00 |
| initial_listing_status | 0 | 0.00 |
| disbursement_method | 0 | 0.00 |
| balance | 0 | 0.00 |
| paid_total | 0 | 0.00 |
| paid_principal | 0 | 0.00 |
| paid_interest | 0 | 0.00 |
| paid_late_fees | 0 | 0.00 |
Code
dataCopy = loans.copy()
dataRed = dataCopy.select_dtypes(include = np.number)
dataRedColsList = dataRed.columns[...]
for i_col in dataRedColsList:
dataRed_i = dataRed.loc[:,i_col]
q25, q75 = round((dataRed_i.quantile(q = 0.25)), 3), round((dataRed_i.quantile(q = 0.75)), 3)
IQR = round((q75 - q25), 3)
cut_off = IQR * 1.5
lower, upper = round((q25 - cut_off), 3), round((q75 + cut_off), 3)
print(' ')
print(i_col, 'q25 =', q25, 'q75 =', q75, 'IQR =', IQR)
print('lower, upper:', lower, upper)
print('Number of Outliers: ', dataRed_i[(dataRed_i < lower) | (dataRed_i > upper)].count())
emp_length q25 = 2.0 q75 = 10.0 IQR = 8.0
lower, upper: -10.0 22.0
Number of Outliers: 0
annual_income q25 = 45000.0 q75 = 95000.0 IQR = 50000.0
lower, upper: -30000.0 170000.0
Number of Outliers: 508
debt_to_income q25 = 11.058 q75 = 25.002 IQR = 13.944
lower, upper: -9.858 45.918
Number of Outliers: 221
annual_income_joint q25 = 86833.5 q75 = 151545.5 IQR = 64712.0
lower, upper: -10234.5 248613.5
Number of Outliers: 68
debt_to_income_joint q25 = 14.16 q75 = 25.5 IQR = 11.34
lower, upper: -2.85 42.51
Number of Outliers: 0
delinq_2y q25 = 0.0 q75 = 0.0 IQR = 0.0
lower, upper: 0.0 0.0
Number of Outliers: 1424
months_since_last_delinq q25 = 19.0 q75 = 53.0 IQR = 34.0
lower, upper: -32.0 104.0
Number of Outliers: 4
earliest_credit_line q25 = 1997.0 q75 = 2006.0 IQR = 9.0
lower, upper: 1983.5 2019.5
Number of Outliers: 313
inquiries_last_12m q25 = 0.0 q75 = 3.0 IQR = 3.0
lower, upper: -4.5 7.5
Number of Outliers: 349
total_credit_lines q25 = 14.0 q75 = 29.0 IQR = 15.0
lower, upper: -8.5 51.5
Number of Outliers: 223
open_credit_lines q25 = 7.0 q75 = 14.0 IQR = 7.0
lower, upper: -3.5 24.5
Number of Outliers: 327
total_credit_limit q25 = 51593.75 q75 = 267550.0 IQR = 215956.25
lower, upper: -272340.625 591484.375
Number of Outliers: 351
total_credit_utilized q25 = 19185.5 q75 = 65421.0 IQR = 46235.5
lower, upper: -50167.75 134774.25
Number of Outliers: 568
num_collections_last_12m q25 = 0.0 q75 = 0.0 IQR = 0.0
lower, upper: 0.0 0.0
Number of Outliers: 127
num_historical_failed_to_pay q25 = 0.0 q75 = 0.0 IQR = 0.0
lower, upper: 0.0 0.0
Number of Outliers: 1414
months_since_90d_late q25 = 29.0 q75 = 63.0 IQR = 34.0
lower, upper: -22.0 114.0
Number of Outliers: 7
current_accounts_delinq q25 = 0.0 q75 = 0.0 IQR = 0.0
lower, upper: 0.0 0.0
Number of Outliers: 1
total_collection_amount_ever q25 = 0.0 q75 = 0.0 IQR = 0.0
lower, upper: 0.0 0.0
Number of Outliers: 1365
current_installment_accounts q25 = 1.0 q75 = 3.0 IQR = 2.0
lower, upper: -2.0 6.0
Number of Outliers: 815
accounts_opened_24m q25 = 2.0 q75 = 6.0 IQR = 4.0
lower, upper: -4.0 12.0
Number of Outliers: 211
months_since_last_credit_inquiry q25 = 2.0 q75 = 11.0 IQR = 9.0
lower, upper: -11.5 24.5
Number of Outliers: 0
num_satisfactory_accounts q25 = 7.0 q75 = 14.0 IQR = 7.0
lower, upper: -3.5 24.5
Number of Outliers: 324
num_accounts_120d_past_due q25 = 0.0 q75 = 0.0 IQR = 0.0
lower, upper: 0.0 0.0
Number of Outliers: 0
num_accounts_30d_past_due q25 = 0.0 q75 = 0.0 IQR = 0.0
lower, upper: 0.0 0.0
Number of Outliers: 1
num_active_debit_accounts q25 = 2.0 q75 = 5.0 IQR = 3.0
lower, upper: -2.5 9.5
Number of Outliers: 263
total_debit_limit q25 = 10000.0 q75 = 36100.0 IQR = 26100.0
lower, upper: -29150.0 75250.0
Number of Outliers: 552
num_total_cc_accounts q25 = 7.0 q75 = 17.0 IQR = 10.0
lower, upper: -8.0 32.0
Number of Outliers: 257
num_open_cc_accounts q25 = 5.0 q75 = 10.0 IQR = 5.0
lower, upper: -2.5 17.5
Number of Outliers: 523
num_cc_carrying_balance q25 = 3.0 q75 = 7.0 IQR = 4.0
lower, upper: -3.0 13.0
Number of Outliers: 248
num_mort_accounts q25 = 0.0 q75 = 2.0 IQR = 2.0
lower, upper: -3.0 5.0
Number of Outliers: 304
account_never_delinq_percent q25 = 92.6 q75 = 100.0 IQR = 7.4
lower, upper: 81.5 111.1
Number of Outliers: 883
tax_liens q25 = 0.0 q75 = 0.0 IQR = 0.0
lower, upper: 0.0 0.0
Number of Outliers: 246
public_record_bankrupt q25 = 0.0 q75 = 0.0 IQR = 0.0
lower, upper: 0.0 0.0
Number of Outliers: 1215
loan_amount q25 = 8000.0 q75 = 24000.0 IQR = 16000.0
lower, upper: -16000.0 48000.0
Number of Outliers: 0
term q25 = 36.0 q75 = 60.0 IQR = 24.0
lower, upper: 0.0 96.0
Number of Outliers: 0
interest_rate q25 = 9.43 q75 = 15.05 IQR = 5.62
lower, upper: 1.0 23.48
Number of Outliers: 364
installment q25 = 256.04 q75 = 644.69 IQR = 388.65
lower, upper: -326.935 1227.665
Number of Outliers: 208
balance q25 = 6679.065 q75 = 20690.182 IQR = 14011.117
lower, upper: -14337.611 41706.858
Number of Outliers: 0
paid_total q25 = 928.7 q75 = 2616.005 IQR = 1687.305
lower, upper: -1602.258 5146.962
Number of Outliers: 619
paid_principal q25 = 587.1 q75 = 1694.555 IQR = 1107.455
lower, upper: -1074.082 3355.738
Number of Outliers: 831
paid_interest q25 = 221.758 q75 = 825.42 IQR = 603.662
lower, upper: -683.735 1730.913
Number of Outliers: 401
paid_late_fees q25 = 0.0 q75 = 0.0 IQR = 0.0
lower, upper: 0.0 0.0
Number of Outliers: 52Dealing with missing values
loans['emp_title'] = loans['emp_title'].fillna('unknown')
loans['emp_length'] = loans['emp_length'].fillna(loans['emp_length'].mean())
loans['debt_to_income'] = loans['debt_to_income'].fillna(loans['debt_to_income'].median())
loans['months_since_last_credit_inquiry'] = loans['months_since_last_credit_inquiry'].fillna(loans['months_since_last_credit_inquiry'].median())
loans['num_accounts_120d_past_due'] = loans['num_accounts_120d_past_due'].fillna(0)Feature engineering
We will simplify grades to levels of risk
# Pandas options to print everything
pd.set_option('display.max_rows', 20)
loans['risk'] = loans['grade']
low_risk = ['A', 'B']
med_risk = ['C', 'D']
high_risk = ['E', 'F', 'G']
loans['risk'] = loans['grade'].apply(lambda x: 'Low Risk' if x in low_risk else ('Medium Risk' if x in med_risk else 'High Risk'))
loans['risk'] = loans['risk'].astype('category')
loans['risk'] = loans['risk'].cat.reorder_categories(['Low Risk', 'Medium Risk', 'High Risk'])
loans.drop(columns = 'grade')| emp_title | emp_length | state | homeownership | annual_income | verified_income | debt_to_income | delinq_2y | earliest_credit_line | inquiries_last_12m | total_credit_lines | open_credit_lines | total_credit_limit | total_credit_utilized | num_collections_last_12m | num_historical_failed_to_pay | current_accounts_delinq | total_collection_amount_ever | current_installment_accounts | accounts_opened_24m | months_since_last_credit_inquiry | num_satisfactory_accounts | num_accounts_120d_past_due | num_accounts_30d_past_due | num_active_debit_accounts | total_debit_limit | num_total_cc_accounts | num_open_cc_accounts | num_cc_carrying_balance | num_mort_accounts | account_never_delinq_percent | tax_liens | public_record_bankrupt | loan_purpose | application_type | loan_amount | term | interest_rate | installment | sub_grade | issue_month | loan_status | initial_listing_status | disbursement_method | balance | paid_total | paid_principal | paid_interest | paid_late_fees | risk | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | global config engineer | 3.0 | NJ | MORTGAGE | 90000.0 | Verified | 18.01 | 0 | 2001 | 6 | 28 | 10 | 70795 | 38767 | 0 | 0 | 0 | 1250 | 2 | 5 | 5.0 | 10 | 0.0 | 0 | 2 | 11100 | 14 | 8 | 6 | 1 | 92.9 | 0 | 0 | moving | individual | 28000 | 60 | 14.07 | 652.53 | C3 | Mar-2018 | Current | whole | Cash | 27015.86 | 1999.33 | 984.14 | 1015.19 | 0.0 | Medium Risk |
| 1 | warehouse office clerk | 10.0 | HI | RENT | 40000.0 | Not Verified | 5.04 | 0 | 1996 | 1 | 30 | 14 | 28800 | 4321 | 0 | 1 | 0 | 0 | 0 | 11 | 8.0 | 14 | 0.0 | 0 | 3 | 16500 | 24 | 14 | 4 | 0 | 100.0 | 0 | 1 | debt_consolidation | individual | 5000 | 36 | 12.61 | 167.54 | C1 | Feb-2018 | Current | whole | Cash | 4651.37 | 499.12 | 348.63 | 150.49 | 0.0 | Medium Risk |
| 2 | assembly | 3.0 | WI | RENT | 40000.0 | Source Verified | 21.15 | 0 | 2006 | 4 | 31 | 10 | 24193 | 16000 | 0 | 0 | 0 | 432 | 1 | 13 | 7.0 | 10 | 0.0 | 0 | 3 | 4300 | 14 | 8 | 6 | 0 | 93.5 | 0 | 0 | other | individual | 2000 | 36 | 17.09 | 71.40 | D1 | Feb-2018 | Current | fractional | Cash | 1824.63 | 281.80 | 175.37 | 106.43 | 0.0 | Medium Risk |
| 3 | customer service | 1.0 | PA | RENT | 30000.0 | Not Verified | 10.16 | 0 | 2007 | 0 | 4 | 4 | 25400 | 4997 | 0 | 1 | 0 | 0 | 1 | 1 | 15.0 | 4 | 0.0 | 0 | 2 | 19400 | 3 | 3 | 2 | 0 | 100.0 | 1 | 0 | debt_consolidation | individual | 21600 | 36 | 6.72 | 664.19 | A3 | Jan-2018 | Current | whole | Cash | 18853.26 | 3312.89 | 2746.74 | 566.15 | 0.0 | Low Risk |
| 4 | security supervisor | 10.0 | CA | RENT | 35000.0 | Verified | 57.96 | 0 | 2008 | 7 | 22 | 16 | 69839 | 52722 | 0 | 0 | 0 | 0 | 1 | 6 | 4.0 | 16 | 0.0 | 0 | 10 | 32700 | 20 | 15 | 13 | 0 | 100.0 | 0 | 0 | credit_card | joint | 23000 | 36 | 14.07 | 786.87 | C3 | Mar-2018 | Current | whole | Cash | 21430.15 | 2324.65 | 1569.85 | 754.80 | 0.0 | Medium Risk |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 9995 | owner | 10.0 | TX | RENT | 108000.0 | Source Verified | 22.28 | 0 | 2008 | 5 | 44 | 13 | 199195 | 77963 | 0 | 1 | 0 | 0 | 3 | 8 | 6.0 | 13 | 0.0 | 0 | 4 | 44600 | 22 | 9 | 4 | 1 | 100.0 | 0 | 1 | other | individual | 24000 | 36 | 7.35 | 744.90 | A4 | Jan-2018 | Current | whole | Cash | 21586.34 | 2969.80 | 2413.66 | 556.14 | 0.0 | Low Risk |
| 9996 | director | 8.0 | PA | MORTGAGE | 121000.0 | Verified | 32.38 | 4 | 1994 | 1 | 28 | 15 | 382061 | 101571 | 0 | 0 | 0 | 0 | 3 | 0 | 1.0 | 15 | 0.0 | 0 | 5 | 28200 | 18 | 11 | 8 | 2 | 82.1 | 0 | 0 | debt_consolidation | individual | 10000 | 36 | 19.03 | 366.72 | D3 | Feb-2018 | Current | whole | Cash | 9147.44 | 1456.31 | 852.56 | 603.75 | 0.0 | Medium Risk |
| 9997 | toolmaker | 10.0 | CT | MORTGAGE | 67000.0 | Verified | 45.26 | 2 | 2004 | 0 | 18 | 11 | 346402 | 95421 | 0 | 0 | 0 | 0 | 3 | 4 | 16.0 | 11 | 0.0 | 0 | 5 | 14900 | 9 | 7 | 5 | 2 | 72.2 | 0 | 0 | debt_consolidation | joint | 30000 | 36 | 23.88 | 1175.10 | E2 | Feb-2018 | Current | fractional | Cash | 27617.65 | 4620.80 | 2382.35 | 2238.45 | 0.0 | High Risk |
| 9998 | manager | 1.0 | WI | MORTGAGE | 80000.0 | Source Verified | 11.99 | 0 | 1999 | 1 | 38 | 15 | 294475 | 27641 | 0 | 0 | 0 | 0 | 2 | 2 | 5.0 | 15 | 0.0 | 0 | 1 | 46000 | 15 | 9 | 2 | 6 | 100.0 | 0 | 0 | other | individual | 24000 | 36 | 5.32 | 722.76 | A1 | Feb-2018 | Current | whole | Cash | 21518.12 | 2873.31 | 2481.88 | 391.43 | 0.0 | Low Risk |
| 9999 | operations analyst | 3.0 | CT | RENT | 66000.0 | Not Verified | 20.82 | 0 | 2005 | 0 | 15 | 11 | 91887 | 53413 | 0 | 0 | 0 | 0 | 5 | 4 | 18.0 | 11 | 0.0 | 0 | 5 | 36800 | 6 | 5 | 5 | 0 | 100.0 | 0 | 0 | credit_card | individual | 12800 | 36 | 10.91 | 418.52 | B4 | Feb-2018 | Current | whole | Cash | 11574.83 | 1658.56 | 1225.17 | 433.39 | 0.0 | Low Risk |
10000 rows × 50 columns
Dimensional reduction: PCA
Code
numerical_cols = loans.select_dtypes(include = ['int64', 'float64']).columns
scaler = StandardScaler()
scaled_data = scaler.fit_transform(loans[numerical_cols])
pca = PCA(n_components = 0.95)
reduced_data = pca.fit_transform(scaled_data)
loading_scores = pd.DataFrame(pca.components_, columns = numerical_cols)
threshold = 0.5
def get_top_features_for_each_component(loading_scores, threshold):
top_features = {}
for i in range(loading_scores.shape[0]):
component = f"Component {i+1}"
scores = loading_scores.iloc[i]
top_features_for_component = scores[abs(scores) > threshold].index.tolist()
top_features[component] = top_features_for_component
return top_features
top_features = get_top_features_for_each_component(loading_scores, threshold)
for component, features in top_features.items():
print(f"{component}: {features}")Component 1: []
Component 2: []
Component 3: []
Component 4: []
Component 5: ['current_accounts_delinq', 'num_accounts_30d_past_due']
Component 6: []
Component 7: ['paid_total', 'paid_principal']
Component 8: []
Component 9: []
Component 10: []
Component 11: []
Component 12: ['total_collection_amount_ever']
Component 13: ['paid_late_fees']
Component 14: ['num_collections_last_12m']
Component 15: ['total_collection_amount_ever']
Component 16: []
Component 17: ['emp_length']
Component 18: ['earliest_credit_line']
Component 19: []
Component 20: []
Component 21: ['account_never_delinq_percent']
Component 22: []
Component 23: ['total_debit_limit']Code
pca_full = PCA()
pca_full.fit(scaled_data)
cumulative_variance = np.cumsum(pca_full.explained_variance_ratio_)
plt.figure(figsize = (8, 6))
plt.plot(cumulative_variance)
plt.xlabel('Number of Components')
plt.ylabel('Cumulative Explained Variance')
plt.title('Scree Plot')
plt.grid(True)
inflection_point = np.argmax(cumulative_variance >= 0.95) + 1
plt.axvline(x=inflection_point, color='red', linestyle='--')
plt.axhline(y=cumulative_variance[inflection_point], color='red', linestyle='--')
plt.text(inflection_point+1, 0.5, f'Inflection Point:\n{inflection_point} Components', color = 'red')
plt.show()
Correlations
numerical_cols = loans.select_dtypes(include = ['int64', 'float64'])
corr_matrix = numerical_cols.corr()
threshold = 0.75 # This is an example threshold
highly_correlated_pairs = [(i, j) for i in corr_matrix.columns for j in corr_matrix.columns if (i != j) and (abs(corr_matrix[i][j]) > threshold)]
print("Highly correlated pairs:")
for pair in highly_correlated_pairs:
print(pair)Highly correlated pairs:
('total_credit_lines', 'open_credit_lines')
('total_credit_lines', 'num_satisfactory_accounts')
('total_credit_lines', 'num_total_cc_accounts')
('open_credit_lines', 'total_credit_lines')
('open_credit_lines', 'num_satisfactory_accounts')
('open_credit_lines', 'num_open_cc_accounts')
('num_historical_failed_to_pay', 'tax_liens')
('current_accounts_delinq', 'num_accounts_30d_past_due')
('num_satisfactory_accounts', 'total_credit_lines')
('num_satisfactory_accounts', 'open_credit_lines')
('num_satisfactory_accounts', 'num_open_cc_accounts')
('num_accounts_30d_past_due', 'current_accounts_delinq')
('num_active_debit_accounts', 'num_cc_carrying_balance')
('num_total_cc_accounts', 'total_credit_lines')
('num_total_cc_accounts', 'num_open_cc_accounts')
('num_open_cc_accounts', 'open_credit_lines')
('num_open_cc_accounts', 'num_satisfactory_accounts')
('num_open_cc_accounts', 'num_total_cc_accounts')
('num_open_cc_accounts', 'num_cc_carrying_balance')
('num_cc_carrying_balance', 'num_active_debit_accounts')
('num_cc_carrying_balance', 'num_open_cc_accounts')
('tax_liens', 'num_historical_failed_to_pay')
('loan_amount', 'installment')
('loan_amount', 'balance')
('installment', 'loan_amount')
('installment', 'balance')
('balance', 'loan_amount')
('balance', 'installment')
('paid_total', 'paid_principal')
('paid_principal', 'paid_total')columns_to_remove = [
'total_credit_lines', # Redundant with open_credit_lines and other credit line features
'num_satisfactory_accounts', # Likely a subset of other credit line features
'tax_liens', # If num_historical_failed_to_pay is more relevant
'current_accounts_delinq', # Redundant with num_accounts_30d_past_due
'num_total_cc_accounts', # Redundant with num_open_cc_accounts
'installment', # If loan_amount is more fundamental to the analysis
'balance', # If loan_amount provides a better perspective
'grade', # Sub_grade provides more detailed information
'paid_total', # If paid_principal provides a better perspective
]
loans.drop(columns = columns_to_remove)
loans.head()| emp_title | emp_length | state | homeownership | annual_income | verified_income | debt_to_income | delinq_2y | earliest_credit_line | inquiries_last_12m | total_credit_lines | open_credit_lines | total_credit_limit | total_credit_utilized | num_collections_last_12m | num_historical_failed_to_pay | current_accounts_delinq | total_collection_amount_ever | current_installment_accounts | accounts_opened_24m | months_since_last_credit_inquiry | num_satisfactory_accounts | num_accounts_120d_past_due | num_accounts_30d_past_due | num_active_debit_accounts | total_debit_limit | num_total_cc_accounts | num_open_cc_accounts | num_cc_carrying_balance | num_mort_accounts | account_never_delinq_percent | tax_liens | public_record_bankrupt | loan_purpose | application_type | loan_amount | term | interest_rate | installment | grade | sub_grade | issue_month | loan_status | initial_listing_status | disbursement_method | balance | paid_total | paid_principal | paid_interest | paid_late_fees | risk | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | global config engineer | 3.0 | NJ | MORTGAGE | 90000.0 | Verified | 18.01 | 0 | 2001 | 6 | 28 | 10 | 70795 | 38767 | 0 | 0 | 0 | 1250 | 2 | 5 | 5.0 | 10 | 0.0 | 0 | 2 | 11100 | 14 | 8 | 6 | 1 | 92.9 | 0 | 0 | moving | individual | 28000 | 60 | 14.07 | 652.53 | C | C3 | Mar-2018 | Current | whole | Cash | 27015.86 | 1999.33 | 984.14 | 1015.19 | 0.0 | Medium Risk |
| 1 | warehouse office clerk | 10.0 | HI | RENT | 40000.0 | Not Verified | 5.04 | 0 | 1996 | 1 | 30 | 14 | 28800 | 4321 | 0 | 1 | 0 | 0 | 0 | 11 | 8.0 | 14 | 0.0 | 0 | 3 | 16500 | 24 | 14 | 4 | 0 | 100.0 | 0 | 1 | debt_consolidation | individual | 5000 | 36 | 12.61 | 167.54 | C | C1 | Feb-2018 | Current | whole | Cash | 4651.37 | 499.12 | 348.63 | 150.49 | 0.0 | Medium Risk |
| 2 | assembly | 3.0 | WI | RENT | 40000.0 | Source Verified | 21.15 | 0 | 2006 | 4 | 31 | 10 | 24193 | 16000 | 0 | 0 | 0 | 432 | 1 | 13 | 7.0 | 10 | 0.0 | 0 | 3 | 4300 | 14 | 8 | 6 | 0 | 93.5 | 0 | 0 | other | individual | 2000 | 36 | 17.09 | 71.40 | D | D1 | Feb-2018 | Current | fractional | Cash | 1824.63 | 281.80 | 175.37 | 106.43 | 0.0 | Medium Risk |
| 3 | customer service | 1.0 | PA | RENT | 30000.0 | Not Verified | 10.16 | 0 | 2007 | 0 | 4 | 4 | 25400 | 4997 | 0 | 1 | 0 | 0 | 1 | 1 | 15.0 | 4 | 0.0 | 0 | 2 | 19400 | 3 | 3 | 2 | 0 | 100.0 | 1 | 0 | debt_consolidation | individual | 21600 | 36 | 6.72 | 664.19 | A | A3 | Jan-2018 | Current | whole | Cash | 18853.26 | 3312.89 | 2746.74 | 566.15 | 0.0 | Low Risk |
| 4 | security supervisor | 10.0 | CA | RENT | 35000.0 | Verified | 57.96 | 0 | 2008 | 7 | 22 | 16 | 69839 | 52722 | 0 | 0 | 0 | 0 | 1 | 6 | 4.0 | 16 | 0.0 | 0 | 10 | 32700 | 20 | 15 | 13 | 0 | 100.0 | 0 | 0 | credit_card | joint | 23000 | 36 | 14.07 | 786.87 | C | C3 | Mar-2018 | Current | whole | Cash | 21430.15 | 2324.65 | 1569.85 | 754.80 | 0.0 | Medium Risk |
Spending our data 💰
Data Preparation
# Encode categorical variables
categorical_columns = loans.select_dtypes(include = ['object', 'category']).columns.tolist()
# Encode categorical variables
label_encoders = {col: LabelEncoder() for col in categorical_columns}
for col in categorical_columns:
loans[col] = label_encoders[col].fit_transform(loans[col])
# Define features and target
X = loans.drop('risk', axis = 1)
y = loans['risk']
# Split the data
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 42)
# Reduce dimensionality to prevent overfitting
pca = PCA(n_components = 2)
X_train_pca = pca.fit_transform(X_train)
X_test_pca = pca.transform(X_test)Confusion matrix
Aside: visualizing decision boundaries
def decisionplot(model, X, y, resolution=216):
# Split the data into features (X) and the class variable (y)
x_min, x_max = X.iloc[:, 0].min() - 1, X.iloc[:, 0].max() + 1
y_min, y_max = X.iloc[:, 1].min() - 1, X.iloc[:, 1].max() + 1
xx, yy = np.meshgrid(np.linspace(x_min, x_max, resolution),
np.linspace(y_min, y_max, resolution))
# Predict outcomes for each point on the grid
if isinstance(model, LinearDiscriminantAnalysis):
# For LDA, we need to use the decision_function method
Z = model.decision_function(np.c_[xx.ravel(), yy.ravel()])
else:
Z = model.predict(np.c_[xx.ravel(), yy.ravel()])
if isinstance(model, LinearDiscriminantAnalysis):
# Reshape LDA decision function output appropriately
Z = Z.reshape(-1, 1)
else:
Z = Z.reshape(xx.shape)
# Plot the actual data points
plt.scatter(X.iloc[:, 0], X.iloc[:, 1], c=y, edgecolors='k', s=20)
# Overlay the decision boundary
plt.contourf(xx, yy, Z, alpha = 0.5)
# Calculate the accuracy
predictions = model.predict(X)
acc = accuracy_score(y, predictions)
# Set labels for axes
plt.xlabel(X.columns[0])
plt.ylabel(X.columns[1])
plt.show()Logistic regression
Used for Binary Classification: Ideal for predicting binary outcomes (e.g., yes/no decisions). But! Softmax regression can predict 2+ outcomes.
Estimates Probabilities: Computes the likelihood of class membership (between 0 and 1).
Sigmoid Function: Transforms linear predictions into probabilities using a logistic curve.
Coefficients and Odds Ratio: Coefficients estimate the impact on the odds of the outcome.
Maximum Likelihood Estimation: Optimizes the fit of the model to the data.
Interpretable: The model’s output is straightforward and easy to understand.
Linear Relationship Assumption: Assumes a linear relationship between predictors and the log-odds of the outcome.
Independent Observations Required: Each observation should be independent of others.
Logistic regression: applied
Linear discriminant analysis
\(\mu_1\) - \(\mu_2\) / \(\sigma_1\) + \(\sigma_2\)
Classification: Primarily used for finding a linear combination of features that best separates two or more classes.
Dimensionality Reduction: Reduces the number of variables while preserving as much class discriminatory information as possible.
Assumptions: Assumes normally distributed data, equal class covariances, and independence of features.
Multiclass Classification: Effective in situations where there are more than two classes.
Result Interpretation: Provides linear discriminants that act as a decision rule for classification.
Linear discriminant analysis: applied
Code
acc = accuracy_score(y_test, predictions)
# Create a meshgrid for plotting
x_min, x_max = X_test_pca[:, 0].min() - 1, X_test_pca[:, 0].max() + 1
y_min, y_max = X_test_pca[:, 1].min() - 1, X_test_pca[:, 1].max() + 1
xx, yy = np.meshgrid(np.linspace(x_min, x_max, 100), np.linspace(y_min, y_max, 100))
# Predict on grid points using test data
Z = lda.predict(np.c_[xx.ravel(), yy.ravel()])
Z = Z.reshape(xx.shape) # Reshape to match grid shape
# Plot the decision boundary
plt.contourf(xx, yy, Z, alpha = 0.5)
# Overlay data points from the test set
plt.scatter(X_test_pca[:, 0], X_test_pca[:, 1], c=y_test, edgecolors = 'k', s = 20)
# Customize plot
plt.title(f"Decision Boundary; Training Accuracy: {acc:.2f}", fontsize = 13)
plt.xlabel("PCA 1")
plt.ylabel("PCA 2")
plt.show()
K-Nearest Neighbors (KNN)
Instance-Based: Uses the entire training set for prediction.
Simple Algorithm: Classifies based on the majority class among ‘k’ closest neighbors.
Distance Metrics: Employs Euclidean or Manhattan distance for neighbor identification.
Parameter ‘k’: Critical to model performance; balancing is needed.
No Explicit Training: Leads to slower predictions with larger datasets.
Feature Scaling Needed: Performance depends on scaled features.
Small Dataset Efficiency: Ideal for small datasets, less so for large ones.
Versatile Use: Applicable for both classification and regression.
K-Nearest Neighbors (KNN): applied
Naive Bayes
Baye’s Theorem
\[\begin{equation} P(A|B) = \frac{P(B|A) \cdot P(A)}{P(B)} \end{equation}\]
Probabilistic Classifier: Calculates the probability of data belonging to a class.
Independence Assumption: Assumes features are independent given the class, simplifying calculations.
Variants: Includes Multinomial and Gaussian Naive Bayes for different data types.
Applications: Commonly used in text classification, spam detection, and recommendation systems.
Fast Training: Quick training, suitable for large datasets.
Laplace Smoothing: Used to handle zero probabilities.
High-Dimensional Data: Performs well in high-dimensional data.
Interpretable: Provides interpretable results with class probabilities.
Sensitivity to Outliers: Sensitive to outliers and irrelevant features.
Complex Relationships: May not capture complex feature dependencies well.
Baseline Model: Useful as a baseline for more complex classifiers.
Naive Bayes: applied
Decision trees
Hierarchical Structure: Decision trees have a hierarchical structure with nodes, branches, and leaves.
Splitting Criteria: They use criteria like Gini impurity or entropy to split data based on feature values.
Interpretability: Highly interpretable due to the visual tree structure.
Overfitting: Prone to overfitting, requiring techniques like pruning to mitigate.
Feature Importance: Provide feature importance scores for understanding variable impact.
Versatility: Applicable to various classification tasks with both categorical and numerical data.
Ensemble Methods: Often used as base models in ensemble methods for improved accuracy.
Computational Complexity: Can be computationally expensive for large datasets; optimized algorithms available.
Decision trees: applied
Random forest
Ensemble Method: Combines multiple decision trees for better predictions.
Bagging: Uses bootstrapped data subsets for tree training.
Feature Randomization: Randomly selects features for each tree split.
Voting Mechanism: Combines tree outputs via majority voting.
Versatile: Works for classification and regression tasks.
Robust to Overfitting: Less prone to overfitting than single trees.
Out-of-Bag Error: Estimates generalization error using unused data.
Feature Importance: Measures the importance of input features.
Parallelization: Can be parallelized for faster training.
Robust to Noisy Data: Handles noisy data and outliers well.
Hyperparameter Tuning: Requires tuning for optimal performance.
Widely Adopted: Used in various domains for its effectiveness.
Random Forest: applied
Gradient Boosting (XGBoost)
Gradient Boosting: algorithm for classification and regression tasks.
Ensemble Learning: It combines multiple decision trees to create a robust predictive model.
Sequential Trees: Builds decision trees sequentially to correct errors from previous ones.
Feature Importance: Provides feature importance scores for identifying influential features.
Handling Missing Data: Offers built-in support for managing missing data.
Parallel & Distributed: Efficiently parallelized and distributed for scalability.
Speed & Efficiency: Known for its speed due to tree pruning and histogram-based algorithms.
Custom Objectives: Allows defining custom objective functions for specific problems.
Applications: Used in predictive modeling, NLP, recommendation systems, and more.
Gradient Boost (XGBoost): applied
Neural Networks
Layers & Neurons: Interconnected nodes in layers.
Weights & Activation: Neurons use weights and activations.
Forward & Backward: Data flows in both directions.
Deep Architectures: Many hidden layers for complexity.
Training Data: Requires abundant labeled data.
Loss Functions: Measure prediction errors.
Backpropagation: Adjusts weights using errors.
Hyperparameters: Tuning for model performance.
Overfitting: Risk with complex models, mitigated by regularization.
GPU Acceleration: Faster training with GPUs.
Transfer Learning: Reusing pre-trained models.
Interpretability: Limited in complex models.
Applications: Image, NLP, autonomous systems.
Neural Networks: applied
# Convert NumPy arrays to PyTorch tensors
X_train_tensor = torch.tensor(X_train_pca, dtype=torch.float32)
y_train_bin = (y_train.to_numpy() > 0).astype(float)
y_train_tensor = torch.tensor(y_train_bin.reshape(-1, 1), dtype=torch.float32)
X_test_tensor = torch.tensor(X_test_pca, dtype=torch.float32)
# Define neural network
class SimpleNN(nn.Module):
def __init__(self, input_dim):
super(SimpleNN, self).__init__()
self.fc1 = nn.Linear(input_dim, 10)
self.fc2 = nn.Linear(10, 1)
def forward(self, x):
x = F.relu(self.fc1(x))
x = torch.sigmoid(self.fc2(x)) # for binary classification
return x
# Initialize model, loss function, optimizer
model = SimpleNN(X_train_pca.shape[1])
criterion = nn.BCELoss()
optimizer = torch.optim.Adam(model.parameters(), lr=0.001)
# Create DataLoader for batching
train_dataset = TensorDataset(X_train_tensor, y_train_tensor)
train_loader = DataLoader(train_dataset, batch_size=10, shuffle=True)
# Train model
for epoch in range(100):
for batch_X, batch_y in train_loader:
optimizer.zero_grad()
outputs = model(batch_X)
loss = criterion(outputs, batch_y)
loss.backward()
optimizer.step()
# Predict on test data
model.eval()
with torch.no_grad():
predictions = model(X_test_tensor).numpy()
# Post-process predictions
nn_predictions = np.round(predictions).flatten()
print("Neural Network Accuracy:", accuracy_score(y_test, nn_predictions))Neural Network Accuracy: 0.3545
Conclusions: question
Can we predict high-risk credit individuals by their financial traits?
Not with the reduced dataset…
However…
What type of category is credit risk?
Feature engineering (ordinal)
loans['risk'] = loans['grade']
low_risk = ['A', 'B']
med_risk = ['C', 'D']
high_risk = ['E', 'F', 'G']
loans['risk'] = loans['grade'].apply(lambda x: 'Low Risk' if x in low_risk else ('Medium Risk' if x in med_risk else 'High Risk'))
risk_mapping = {'Low Risk': 1, 'Medium Risk': 2, 'High Risk': 3}
loans['risk'] = loans['risk'].map(risk_mapping)
loans.drop(columns = 'grade')| emp_title | emp_length | state | homeownership | annual_income | verified_income | debt_to_income | delinq_2y | earliest_credit_line | inquiries_last_12m | total_credit_lines | open_credit_lines | total_credit_limit | total_credit_utilized | num_collections_last_12m | num_historical_failed_to_pay | current_accounts_delinq | total_collection_amount_ever | current_installment_accounts | accounts_opened_24m | months_since_last_credit_inquiry | num_satisfactory_accounts | num_accounts_120d_past_due | num_accounts_30d_past_due | num_active_debit_accounts | total_debit_limit | num_total_cc_accounts | num_open_cc_accounts | num_cc_carrying_balance | num_mort_accounts | account_never_delinq_percent | tax_liens | public_record_bankrupt | loan_purpose | application_type | loan_amount | term | interest_rate | installment | sub_grade | issue_month | loan_status | initial_listing_status | disbursement_method | balance | paid_total | paid_principal | paid_interest | paid_late_fees | risk | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1777 | 3.0 | 30 | 0 | 90000.0 | 2 | 18.01 | 0 | 2001 | 6 | 28 | 10 | 70795 | 38767 | 0 | 0 | 0 | 1250 | 2 | 5 | 5.0 | 10 | 0.0 | 0 | 2 | 11100 | 14 | 8 | 6 | 1 | 92.9 | 0 | 0 | 7 | 0 | 28000 | 60 | 14.07 | 652.53 | 12 | 2 | 1 | 1 | 0 | 27015.86 | 1999.33 | 984.14 | 1015.19 | 0.0 | 3 |
| 1 | 4676 | 10.0 | 11 | 2 | 40000.0 | 0 | 5.04 | 0 | 1996 | 1 | 30 | 14 | 28800 | 4321 | 0 | 1 | 0 | 0 | 0 | 11 | 8.0 | 14 | 0.0 | 0 | 3 | 16500 | 24 | 14 | 4 | 0 | 100.0 | 0 | 1 | 2 | 0 | 5000 | 36 | 12.61 | 167.54 | 10 | 0 | 1 | 1 | 0 | 4651.37 | 499.12 | 348.63 | 150.49 | 0.0 | 3 |
| 2 | 207 | 3.0 | 47 | 2 | 40000.0 | 1 | 21.15 | 0 | 2006 | 4 | 31 | 10 | 24193 | 16000 | 0 | 0 | 0 | 432 | 1 | 13 | 7.0 | 10 | 0.0 | 0 | 3 | 4300 | 14 | 8 | 6 | 0 | 93.5 | 0 | 0 | 8 | 0 | 2000 | 36 | 17.09 | 71.40 | 15 | 0 | 1 | 0 | 0 | 1824.63 | 281.80 | 175.37 | 106.43 | 0.0 | 3 |
| 3 | 1035 | 1.0 | 37 | 2 | 30000.0 | 0 | 10.16 | 0 | 2007 | 0 | 4 | 4 | 25400 | 4997 | 0 | 1 | 0 | 0 | 1 | 1 | 15.0 | 4 | 0.0 | 0 | 2 | 19400 | 3 | 3 | 2 | 0 | 100.0 | 1 | 0 | 2 | 0 | 21600 | 36 | 6.72 | 664.19 | 2 | 1 | 1 | 1 | 0 | 18853.26 | 3312.89 | 2746.74 | 566.15 | 0.0 | 3 |
| 4 | 3710 | 10.0 | 4 | 2 | 35000.0 | 2 | 57.96 | 0 | 2008 | 7 | 22 | 16 | 69839 | 52722 | 0 | 0 | 0 | 0 | 1 | 6 | 4.0 | 16 | 0.0 | 0 | 10 | 32700 | 20 | 15 | 13 | 0 | 100.0 | 0 | 0 | 1 | 1 | 23000 | 36 | 14.07 | 786.87 | 12 | 2 | 1 | 1 | 0 | 21430.15 | 2324.65 | 1569.85 | 754.80 | 0.0 | 3 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 9995 | 2830 | 10.0 | 42 | 2 | 108000.0 | 1 | 22.28 | 0 | 2008 | 5 | 44 | 13 | 199195 | 77963 | 0 | 1 | 0 | 0 | 3 | 8 | 6.0 | 13 | 0.0 | 0 | 4 | 44600 | 22 | 9 | 4 | 1 | 100.0 | 0 | 1 | 8 | 0 | 24000 | 36 | 7.35 | 744.90 | 3 | 1 | 1 | 1 | 0 | 21586.34 | 2969.80 | 2413.66 | 556.14 | 0.0 | 3 |
| 9996 | 1194 | 8.0 | 37 | 0 | 121000.0 | 2 | 32.38 | 4 | 1994 | 1 | 28 | 15 | 382061 | 101571 | 0 | 0 | 0 | 0 | 3 | 0 | 1.0 | 15 | 0.0 | 0 | 5 | 28200 | 18 | 11 | 8 | 2 | 82.1 | 0 | 0 | 2 | 0 | 10000 | 36 | 19.03 | 366.72 | 17 | 0 | 1 | 1 | 0 | 9147.44 | 1456.31 | 852.56 | 603.75 | 0.0 | 3 |
| 9997 | 4484 | 10.0 | 6 | 0 | 67000.0 | 2 | 45.26 | 2 | 2004 | 0 | 18 | 11 | 346402 | 95421 | 0 | 0 | 0 | 0 | 3 | 4 | 16.0 | 11 | 0.0 | 0 | 5 | 14900 | 9 | 7 | 5 | 2 | 72.2 | 0 | 0 | 2 | 1 | 30000 | 36 | 23.88 | 1175.10 | 21 | 0 | 1 | 0 | 0 | 27617.65 | 4620.80 | 2382.35 | 2238.45 | 0.0 | 3 |
| 9998 | 2410 | 1.0 | 47 | 0 | 80000.0 | 1 | 11.99 | 0 | 1999 | 1 | 38 | 15 | 294475 | 27641 | 0 | 0 | 0 | 0 | 2 | 2 | 5.0 | 15 | 0.0 | 0 | 1 | 46000 | 15 | 9 | 2 | 6 | 100.0 | 0 | 0 | 8 | 0 | 24000 | 36 | 5.32 | 722.76 | 0 | 0 | 1 | 1 | 0 | 21518.12 | 2873.31 | 2481.88 | 391.43 | 0.0 | 3 |
| 9999 | 2769 | 3.0 | 6 | 2 | 66000.0 | 0 | 20.82 | 0 | 2005 | 0 | 15 | 11 | 91887 | 53413 | 0 | 0 | 0 | 0 | 5 | 4 | 18.0 | 11 | 0.0 | 0 | 5 | 36800 | 6 | 5 | 5 | 0 | 100.0 | 0 | 0 | 1 | 0 | 12800 | 36 | 10.91 | 418.52 | 8 | 0 | 1 | 1 | 0 | 11574.83 | 1658.56 | 1225.17 | 433.39 | 0.0 | 3 |
10000 rows × 50 columns
Ordinal logistic regression
Dependent Variable: It is used when the response variable is ordinal, meaning the categories have a natural order (e.g., ‘poor’ to ‘excellent’ ratings).
Proportional Odds Assumption: Assumes that the odds of being in a higher category versus all lower categories are the same across each threshold of the dependent variable.
Cumulative Probabilities: Models the probability of the response variable being in a certain category or a lower one, rather than modeling each category individually.
Coefficients Interpretation: Coefficients indicate the change in the log odds of being in a higher category for a one-unit increase in the predictor, holding other variables constant.
Model Diagnostics: Important to assess the proportional odds assumption and model fit using diagnostics like likelihood ratio tests or pseudo R-squared values.
Applications: Widely used in fields like social sciences and medical research for analyzing ordinal data.
Ordinal logistic regression: applied
K-Nearest Neighbors (KNN): applied
Decision trees: applied
Conclusions …cont
Similar performance as nominal models
…BUT Ordinal Logistic Regression performed best, and better than the nominal model.
