# 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 tensorflow as tf
import logging
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
import os
# Increase font size of all Seaborn plot elements
sns.set(font_scale = 1.25)
# Set Seaborn theme
sns.set_theme(style = "white")
# Suppress tensorflow messages and progress bars
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' Classification I
Lecture 5
Dr. Greg Chism
University of Arizona
INFO 523 - Spring 2024
Warm up
Announcements
HW 02 is due today, 11:59pm
Spring Break is right around the corner!
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 | 9183.000 | 10000.000 | 9976.000 | 1495.000 | 1495.000 | 10000.000 | 4342.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 2285.000 | 10000.00 | 10000.000 | 10000.000 | 10000.000 | 8729.000 | 10000.00 | 9682.0 | 10000.00 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 | 10000.000 |
| mean | 5.930 | 79222.148 | 19.308 | 127914.571 | 19.979 | 0.216 | 36.761 | 2001.290 | 1.958 | 22.680 | 11.404 | 183606.230 | 51049.063 | 0.014 | 0.167 | 46.112 | 0.00 | 184.334 | 2.664 | 4.376 | 7.341 | 11.38 | 0.0 | 0.00 | 3.595 | 27357.410 | 13.030 | 8.095 | 5.230 | 1.383 | 94.649 | 0.043 | 0.124 | 16361.922 | 43.272 | 12.428 | 476.205 | 14458.917 | 2494.235 | 1894.448 | 599.667 | 0.120 |
| std | 3.704 | 64734.290 | 15.005 | 70168.375 | 8.055 | 0.684 | 21.635 | 7.796 | 2.380 | 11.885 | 5.868 | 187632.708 | 53636.731 | 0.127 | 0.688 | 21.748 | 0.01 | 2206.390 | 2.935 | 3.159 | 5.982 | 5.86 | 0.0 | 0.01 | 2.435 | 26570.164 | 7.875 | 4.907 | 3.328 | 1.717 | 9.155 | 0.594 | 0.337 | 10301.957 | 11.030 | 5.001 | 294.852 | 9964.562 | 3958.230 | 3884.407 | 517.328 | 1.813 |
| min | 0.000 | 0.000 | 0.000 | 19200.000 | 0.320 | 0.000 | 1.000 | 1963.000 | 0.000 | 2.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 2.000 | 0.00 | 0.000 | 0.000 | 0.000 | 0.000 | 0.00 | 0.0 | 0.00 | 0.000 | 0.000 | 2.000 | 0.000 | 0.000 | 0.000 | 14.300 | 0.000 | 0.000 | 1000.000 | 36.000 | 5.310 | 30.750 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 25% | 2.000 | 45000.000 | 11.058 | 86833.500 | 14.160 | 0.000 | 19.000 | 1997.000 | 0.000 | 14.000 | 7.000 | 51593.750 | 19185.500 | 0.000 | 0.000 | 29.000 | 0.00 | 0.000 | 1.000 | 2.000 | 2.000 | 7.00 | 0.0 | 0.00 | 2.000 | 10000.000 | 7.000 | 5.000 | 3.000 | 0.000 | 92.600 | 0.000 | 0.000 | 8000.000 | 36.000 | 9.430 | 256.040 | 6679.065 | 928.700 | 587.100 | 221.758 | 0.000 |
| 50% | 6.000 | 65000.000 | 17.570 | 113000.000 | 19.720 | 0.000 | 34.000 | 2003.000 | 1.000 | 21.000 | 10.000 | 114667.000 | 36927.000 | 0.000 | 0.000 | 47.000 | 0.00 | 0.000 | 2.000 | 4.000 | 6.000 | 10.00 | 0.0 | 0.00 | 3.000 | 19500.000 | 11.000 | 7.000 | 5.000 | 1.000 | 100.000 | 0.000 | 0.000 | 14500.000 | 36.000 | 11.980 | 398.420 | 12379.495 | 1563.300 | 984.990 | 446.140 | 0.000 |
| 75% | 10.000 | 95000.000 | 25.002 | 151545.500 | 25.500 | 0.000 | 53.000 | 2006.000 | 3.000 | 29.000 | 14.000 | 267550.000 | 65421.000 | 0.000 | 0.000 | 63.000 | 0.00 | 0.000 | 3.000 | 6.000 | 11.000 | 14.00 | 0.0 | 0.00 | 5.000 | 36100.000 | 17.000 | 10.000 | 7.000 | 2.000 | 100.000 | 0.000 | 0.000 | 24000.000 | 60.000 | 15.050 | 644.690 | 20690.182 | 2616.005 | 1694.555 | 825.420 | 0.000 |
| max | 10.000 | 2300000.000 | 469.090 | 1100000.000 | 39.980 | 13.000 | 118.000 | 2015.000 | 29.000 | 87.000 | 51.000 | 3386034.000 | 942456.000 | 3.000 | 52.000 | 128.000 | 1.00 | 199308.000 | 35.000 | 29.000 | 24.000 | 51.00 | 0.0 | 1.00 | 32.000 | 386700.000 | 66.000 | 46.000 | 43.000 | 14.000 | 100.000 | 52.000 | 3.000 | 40000.000 | 60.000 | 30.940 | 1566.590 | 40000.000 | 41630.444 | 40000.000 | 4216.440 | 52.980 |
| 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.round(3)
}
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
nurses aid 1
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
animal care technician 1
jewelry consultant 1
claims specialist 1
wholesale clerk 1
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
oil operator 1
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
juvenile institutional officer 1
adjunct instructor (professor) 1
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
patient coordinator 1
merchandise 1
senior account analyst 1
field tech 1
braillist 1
x-ray technologist 1
shuttle driver 1
product owner 1
director of customer excellenc 1
air conditioning 1
power operations coordinator 1
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
technical design manager 1
creative executive 1
benefits adminsitrator 1
fulfillment 1
coding manager 1
certified nursing assistsnt 1
loan administrator, avp 1
licenced practical nurse 1
senior team leader 1
clinical coordinator 1
ops manager 1
deployment coordinator 1
intake coordinaor 1
senior director of operations 1
head caretaker 1
registered nurse mgr 1
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
preschool teacher 1
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
transmission operations coordinator 1
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
purchasing clerk 1
business analysis 1
interior designer - sales 1
child welfare worker iii 1
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
life skills intructor 1
caseworker 1
hts 1
county engineer 1
radiologist 1
lead repair tech 1
senior technical coordinator 1
evp operations 1
corporate trainer 1
president and ceo 1
technical information specialist 1
food service 1
licensed barber 1
vp of lending 1
bar porter 1
commercial credit analyst 1
mechanical test manager 1
field service tech 1
mep reporting specialist 1
phone banker 1
insurance counselor 1
healthy social behavior specialist 1
is support 1
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area director 1
sales/ cobbler 1
collection officer ii 1
sr school lunch helper 1
fulltime 1
mobile equipment operator 1
bulk mail technician 1
plumber/pipefitter 1
insurance/finanical coordinator 1
nursing assistant 1
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
school crossing guard 1
border patrol agent 1
speech language assistant 1
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
accounts manager 1
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
auto glass technician 1
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
anesthesiologist 1
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
sr accountant 1
senior donor relations officer 1
pacs admin 1
teacher/administrator 1
clinic manager 1
program leader 1
cnc programmer / operator 1
otr driver 1
utility porter 1
forklit operator 1
cnc programer 1
lead consulting data analyst 1
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civil servant 1
director of product development 1
kitchen 1
interior tech 1
multimedia producer 1
flight attendant 1
principle fellow 1
department executive one 1
internal audit contractor 1
vp enrollment 1
structure analyst 1
communications associate 1
senior erp consultant 1
sr sys admin 1
wealth mgmnt associate 1
asst mgr bts contract 1
svp of commercial operations 1
hazardous materials compliance officer 1
register nurse manager 1
registered cardiovascular technologist 1
railroad conductor 1
sr computer operator 1
pipewelder 1
business banking specialist 1
admissions coordinator 1
owner/operater 1
manager is - tier 1 nursing and pharmacy 1
inventory supervisor 1
interior designer 1
transportation operator 1
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product line manager 1
ground worker 1
department head 1
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
director of pupil services 1
owner-consultant 1
pension ananlyst 1
patient access rep 1
funeral servicd assistant 1
asst teacher 1
chief operations officer 1
assistant dining room manager 1
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
landscape designer/arborist 1
parts counter 1
coordinator of fire services 1
bank examiner 1
surveyor 1
truck drivet 1
sandwich maker 1
region sales manager 1
registered nurse / director of nursing 1
porter 1
lpc 1
lieutenant sheriff dept 1
overnight 1
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production manufacturing 1
it senior analyst 1
battalion chief 1
strategy relationship manager 1
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environmental serviceassociate 1
paraeducator 1
project assistant 1
sr architect - technology 1
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shipfitter 1
college advisor 1
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imaging services assistant 1
pizza cook 1
doctor of audiology 1
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counselor 1
operatot 1
service director 1
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deli team leader/manager 1
quality engineer 1
office operations manager 1
quality control & compliance 1
well teck 1
dept of rehabilitation 1
senior mapping tech 1
vice president customer operations 1
maintence 1
customer advocate 1
sales,painter, assembly 1
tax paralegal 1
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rn in surgery 1
chief technology officer 1
field service representatives 1
vice president/director of sales 1
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correction officer 1
job manager 1
frontend manager 1
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direct support professional 1
sr it project manager 1
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senior csr 1
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design engineer 1
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program integrity auditor 1
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ceo team leader 1
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csr dispatcger 1
packing 1
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vp operations 1
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resident physician 1
painter 2 1
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vet tech 1
saw operator 1
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senior maintenance tech 1
adjunct faculty 1
manager/hr 1
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accounting shared services coordinator 1
snr fin svcs rep 1
office manager/accountant 1
business anaylst 1
busdriver 1
secreatary 1
transportation manage 1
technical architect 1
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it tech ii 1
asst mgr 1
tax law specialist 1
mri technologist 1
nutrition services 1
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rn supervisor 1
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peersuport concelor 1
ct technologist 1
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core layer 1
deliveries carrier 1
mra 1
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national sales 1
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tool maker 1
atc 1
bdc manager 1
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creative director, owner 1
sander 1
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sr loan processor 1
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area director of sales 1
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sports editor 1
adminiative asst 1
spray painter 1
attorney owner 1
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stylist apprentice 1
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vice president of engineering 1
cip compliance specialist 1
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sr buyer 1
loan consultant 1
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order processing 1
process analyst 1
investor relations 1
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er nurse - clinical trauma specialist 1
shipping and picking 1
dept manager 1
qa developer 1
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accounting director 1
shop forman 1
sales & marketing 1
director transformation 1
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visual market manager 1
assembly line 1
process operator 1
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aro 1
credit administrator 1
fuel and lube technician 1
office lead 1
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rn/manager 1
director of detention services 1
cota 1
attorney at law 1
dietary 1
certifying scientist 1
aesthetican 1
district conservationist 1
it application architect 1
front end engineer 1
deputy chief of police 1
towtruck driver 1
cbp officer 1
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public health sanitarian ii 1
national account executive 1
patron services 1
distribution 1
tanker man 1
networks 1
real estate support staff 1
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avp of edi 1
claims customer service 1
pressroom operator 1
sr principal consultant 1
wire technician 1
sr loan processor 1
americorp member 1
lending officer 1
tax clerk 1
shipping supervisor 1
svp operations 1
seafood clerk 1
certification clerk 1
msg 1
aftermarket expeditor 1
residential assistant manager 1
host 1
cadd 1
home health aide 1
learning experience facilitator 1
director of corporate operations 1
state trooper 1
constituent services representative 1
nails tech 1
relationship banker 1
vac/shift relief warehouse 1
emergency medical technician 1
prep touch up 1
operation specialist 1
director asset management 1
teacher assistent 1
bridge tender 1
direct staff 1
kindergarten teacher 1
systems administrator sr 1
senior claim examiner 1
consumer marketing director 1
sr toll collector 1
rn-icu 1
talent 1
certified tumor registrar 1
sales and support generalist 1
devops engineer 1
its5 1
maritime transportation specialist 1
hr sourcer 1
executive 1
technical 1
print project planner/estimator 1
section 8 coordinator 1
development 1
technology consultant iv 1
aviation analyst 1
title examiner 1
director of fitness 1
public utilities specialist 1
addiction specialist 1
department management 1
sr mech spec 1
legal asst 1
credit sales manager 1
para transit specialist 1
gis analyst 1
nuclear medicine 1
operator one 1
locker room attendant 1
staff sargent 1
sr loan officer 1
supervisor, production 1
soils laboratory technician 1
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
senior merchandising manager 1
financial center operations manager 1
community improvement specialty officer 1
irb coordinaor 1
head pressman 1
ux development manager 1
supervisor/front end 1
mortgage specialist 1
360app specialist 1
student services senior professional 1
composite fabricator 1
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
information assurance 1
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
supervising attorney 1
crew member 1
snr project engineer 1
courier 1
active duty 1
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
clinical report writer 1
speech pathologist supervisor 1
schedule coordinator 1
sr solution architect 1
accounting adminstrator 1
asst parts dept manager 1
retail and brand education specialist 1
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
senior compounder operator 1
it professional 1
ecommerce, digital strategy 1
owner & operator 1
epic sr analyst 1
nutrition 1
salon leader 1
sr mechanical engineer 1
tv broadcaster 1
sr system analyst 1
notasked 1
body shop manager 1
dispatch 1
labor relations specialist 1
lawyer/partner 1
heavy equipment mechanic 1
qa project coordinator 1
senior security analyst 1
operator machine 1
program assistant 1
mro purchaser 1
signing associate 1
software 1
superintendent of schools 1
research health science specialist 1
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translations engineer 1
farm foreman 1
motor vehicle representative 1
cyber security specialist 1
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
public safety manager 1
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
certified electrician 1
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
private investigator 1
sales and leasing agent 1
full time rn 1
supplier diversity 1
office managetr 1
parts dept / buyer 1
enterprise storage engineer 1
executive assistant/ accts coord 1
director of purchasing 1
yard master 1
mental health tech/ staff development 1
checker 1
family and community advocate 1
quality inspection 1
owner/builder 1
bc111 1
horticulture inspector 1
purchasing supervisor 1
assistant financial controller 1
baggage handler 1
content review specialist 1
human resources 1
software product manager 1
sgt 1
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chief petty officer 1
administrative specialist 1
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security bike officer 1
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pct 1
lead hydraulic mechanic 1
music director 1
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lift truck operator 1
senior cad drafter 1
battery commander 1
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primary nurse case admin 1
vice president, regulatory affairs 1
general clerk 1
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settlement officer 1
relationship specialist 1
licensed nurse 1
project control 1
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svp client management 1
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head baseball coach 1
hha 1
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management services director 1
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manager ge 1
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wareworker 1
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patient safety companion 1
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first level officer 1
management analyst 1
wrapper 1
disclosure specialists 1
hr analyst 1
loan analyst 1
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senior dba 1
pr representative 1
manager ii 1
hr data tech 1
department mananger 1
supervisory auditor 1
research specialist 1
direct support 1
inventory specialist, purchasing 1
legal advisor 1
sr program manager 1
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safety monitor 1
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hr 1
vicepresident 1
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ir technologist 1
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meat wrapper 1
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store associate 1
iss rep 1
lineman 1
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hr director 1
administrative assistant-requisitions 1
supervisory passport specialist 1
vp global business development 1
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service specialist 1
veterans service representative 1
vp aquisitions 1
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set designer 1
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sr, examiner 1
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deli steward 1
rx lab tecg 1
ptl 1
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sr culinary manager 1
asmt 1
document control specialist 1
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master inspecter 1
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director of financial services 1
feeder 1
clinical coordinator 1
head of shopper engagement 1
assistant to internet director 1
vice president, sales and marketing 1
crew chief 1
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master driver 1
rca 1
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superintendent -customer operations 1
sr engineer 1
petroleum operator 1
driver/crane opeator 1
qa auditor 1
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military officer captain 1
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video management 1
claims adjudicator 1
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escrow manager 1
senior technically writer 1
security supervisor 1
parts 1
4th person 1
respiratory therapist & sleep lab tech 1
onsite medical 1
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program analyst 1
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armed protection officer 1
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reader advisor 1
director of support services 1
police recruit 1
hes advisor 1
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hvac technician 1
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head of product design 1
business analysis/csu manager 1
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regional manager 1
telecommunications tech 1
services coordinator 1
renewal specialist 1
associate medical director 1
junior graphic designer 1
ceo president 1
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forming operator 1
large format printing lead 1
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formulation scientist 1
dockworker 1
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house officer 1
vp hr 1
shade assembler 1
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medical asst 1
pmo manager 1
manger/barber 1
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lead driver 1
residential coordinator 1
kitchen designer 1
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assistant controller 1
office manager/ bookkeeper 1
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dean of humanities and the arts 1
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financial service specialist 1
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setup operator 1
research programmer / analyst 1
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aviation inspector 1
healthcare coordinator 1
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gm manager 1
retired 1
master certified spanish interpreter 1
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invoice 1
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process sample lab tech 1
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tech support 1
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regional vice president 1
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technical support representative 1
deputy manager 1
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tool builder 1
avp, business development 1
ramp service employee 1
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staff rn 2 1
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jrotc instructor 1
messenger 1
runner 1
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jeweler 1
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er receptionist 1
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asm - managee 1
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pr director 1
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bestro 1
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k9 sgt 1
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sr it business analyst 1
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vp tech support andtraining 1
vp & chief compliance officer 1
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validation engineering advisor 1
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colonel 1
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office manager` 1
cto 1
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airman 1
parts 1
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tfs tech 1
aasp 1
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chief cyber operations 1
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selling specialist 1
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rn clinical educator 1
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director international relations 1
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youthdevelopment 1
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sr account executive 1
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cpc medical coder 1
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presidnet 1
senior writer 1
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director of global compliance 1
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vp interior design 1
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associate director 1
manager system integration 1
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director of learning & performance 1
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loss prevention 1
technologist 1
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senior content strategist 1
broker associate 1
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director of clinic operations 1
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director, field operations 1
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sales support 1
pet stylist 1
general services supervisor 1
over the road driver 1
grant specialist 1
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police detecitve 1
qa engineer 1
equipment manager 1
testing technician 1
bin checker 1
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warehouse/ office worker 1
counter parts rep 1
brigade s1 1
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attorney/shareholder 1
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psr 2 1
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securitas officer 1
logistic specialist chief petty officer 1
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lead representative 1
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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director, product management & engineeri 1
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vp fp&a 1
vp institutional sales 1
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lfs/lpa2 vendor support 1
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mercedes benz consultant 1
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corrections police officer 1
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director of marketing and communications 1
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electrican 1
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first sergeant 1
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waiter/server 1
recruiting sfc 1
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director strategic accounts 1
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sr enterprise messaging administrator 1
loan funder 1
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carrier 1
aaiii 1
airman 1
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tint technician 1
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owner / broker 1
attendant 1
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assitant director of operations 1
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pricing and reporting analyst 1
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lifeguard 1
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sole member 1
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director of development 1
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sr scientist 1
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selector 1
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vp - project manager 1
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crr 1
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qa 1
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caterer 1
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parts tech 1
associate pastor 1
rdaef 1
project consultant 1
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vp, digital operations 1
title specialist 1
cardiothoracic surgery physician assist 1
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freight team member 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
drain tech 1
parole 1
material coordinator 1
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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paraeducator 1
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claim specialist 1
teacher aid 1
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senior accountant 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
purchasing director 1
stocker 1
e5 1
regional staff nurse 1
director of student finance 1
traffic systems specialist/electrician 1
outside sales 1
realtor, abr, cbr 1
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rvp 1
vault cashier 1
drywall taper 1
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cleaning business 1
senior lean analysts 1
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sr director it&s 1
senior accountant, cca 1
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human resources specialist 1
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cyber security analyst ii 1
claims 1
field engineer 1
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uc 1
rsr driver dc 1
chief engineer 1
vice president client manager 1
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rigger 1
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owner/advertiser 1
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government operations consultant 1
wood work and painting 1
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director/paramedic 1
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product development engineer- ford 1
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business development officer 1
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executive manger 1
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director, client engagement 1
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assistant chief of health and safety 1
ics- data- manager 1
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research assistant 1
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general counsel 1
construction plumber 1
fuels systems journeyman 1
store mgr 1
support specialist 1
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strategic medical planner 1
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claims dept 1
pipeliner 1
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patient financial counselor 1
stability coordinator 1
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patrol sergeant 1
mortgage processor 1
support broker 1
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mk attendant 1
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group leader hi-lo operator 1
business analyst v 1
director of laser sales 1
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database manager 1
salesman 1
dietery 1
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criminal finanacial obligaions senor 1
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manager of global sales 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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federal work-study 1
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tech suppo 1
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mamager 1
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machinen operarto cnc 1
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sr shelf edge analyst 1
itd 1
electronics technician 1
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cantor 1
software tech 1
butcher 1
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network operations center analyst 1
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e-9 1
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atm technician 1
vp of automotive operations 1
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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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buyer i 1
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vp security specialist 1
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partner attorney 1
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parts technician 1
managet 1
psychiatric social clerk i 1
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category gaming manager 1
expo, cashier, shift lead 1
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hvac tech 1
driver/ 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
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eligibility specialist 1
a,b operater 1
key accounts manager 1
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welding foreman 1
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veterans technician 1
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eligibility 1
test engineer 1
cems technician 1
dir of tech services 1
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esthetician 1
nnp 1
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license practical nurse 1
animal groomer 1
transmission supervisor 1
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utilization manager reviewer 1
director of bi and analytics 1
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maintenance/parts 1
senior staff analysy 1
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director of human resources 1
boilers operator 1
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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 0.024
owner 0.022
teacher 0.022
driver 0.013
sales 0.011
registered nurse 0.010
rn 0.009
supervisor 0.009
truck driver 0.007
office manager 0.007
president 0.006
general manager 0.006
project manager 0.005
engineer 0.005
director 0.005
operations manager 0.005
nurse 0.004
software engineer 0.003
sales manager 0.003
technician 0.003
account manager 0.003
owner 0.003
accountant 0.003
analyst 0.003
machine operator 0.003
server 0.003
mechanic 0.003
ceo 0.003
foreman 0.003
consultant 0.003
supervisor 0.003
vice president 0.003
attorney 0.003
police officer 0.002
manager 0.002
store manager 0.002
director of operations 0.002
administrative assistant 0.002
cook 0.002
social worker 0.002
customer service 0.002
maintenance 0.002
professor 0.002
branch manager 0.002
counselor 0.002
executive assistant 0.002
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welder 0.002
operator 0.002
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bartender 0.002
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it manager 0.002
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paralegal 0.002
realtor 0.002
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program manager 0.002
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service manager 0.002
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controller 0.002
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loan officer 0.002
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principal 0.001
cna 0.001
cashier 0.001
designer 0.001
sales consultant 0.001
lpn 0.001
security officer 0.001
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captain 0.001
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chef 0.001
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partner 0.001
management 0.001
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sales 0.001
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warehouse 0.001
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it specialist 0.001
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pilot 0.001
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cfo 0.001
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marketing 0.001
agent 0.001
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tech 0.001
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physical therapist 0.001
recruiter 0.001
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pastor 0.001
systems administrator 0.001
sr project manager 0.001
technician 0.001
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forman 0.001
mechanical engineer 0.001
banker 0.001
sr software engineer 0.001
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vp 0.001
foreman 0.001
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director 0.001
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teller 0.001
physician assistant 0.001
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educator 0.001
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contractor 0.001
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management 0.001
warehouse manager 0.001
property manager 0.001
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operator 0.001
regional sales manager 0.001
plant manager 0.001
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senior engineer 0.001
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deputy 0.001
production 0.001
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credit analyst 0.001
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customer service representative 0.001
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sales manager 0.001
investigator 0.001
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data analyst 0.001
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business manager 0.001
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shipping 0.001
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quality control 0.001
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principal consultant 0.001
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faculty 0.001
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it 0.001
massage therapist 0.001
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material handler 0.001
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table games dealer 0.001
medical assistant 0.001
social worker 0.001
product manager 0.001
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network engineer 0.000
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special education teacher 0.000
lab tech 0.000
book keeper 0.000
sales associate 0.000
hair stylist 0.000
nanny 0.000
sales engineer 0.000
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architect 0.000
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owner / operator 0.000
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sales director 0.000
claims adjuster 0.000
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hr director 0.000
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human resources manager 0.000
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director of nursing 0.000
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cpa 0.000
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sr manager 0.000
finance 0.000
relationship manager 0.000
register nurse 0.000
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pharmacy technician 0.000
csr 0.000
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respiratory therapist 0.000
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labor 0.000
president 0.000
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police 0.000
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elevator mechanic 0.000
communications 0.000
clinical manager 0.000
attorney 0.000
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teacher/coach 0.000
certified medical assistant 0.000
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lead architect 0.000
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pca 0.000
vp of operations 0.000
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svp 0.000
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hha 0.000
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sales person 0.000
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lease operator 0.000
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specialist 0.000
hr supervisor 0.000
fire fighter 0.000
security guard 0.000
police officer 0.000
support manager 0.000
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cdl driver 0.000
medical records 0.000
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sergeant first class 0.000
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sr developer 0.000
security supervisor 0.000
purchasing manager 0.000
staff rn 0.000
conductor 0.000
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hr coordinator 0.000
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pta 0.000
service director 0.000
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physician 0.000
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plant manager 0.000
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special agent 0.000
qa analyst 0.000
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sales executive 0.000
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parts manager 0.000
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medical doctor 0.000
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editor 0.000
sergeant 0.000
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handyman 0.000
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accounts payable 0.000
officer 0.000
district manager 0.000
engineering project manager 0.000
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rda 0.000
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chaplain 0.000
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management analyst 0.000
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technition 0.000
rn case manager 0.000
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gm 0.000
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landscaper 0.000
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server engineer 0.000
library specialist 0.000
janitor 0.000
sr systems engineer 0.000
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emt 0.000
aircraft technician 0.000
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it analyst 0.000
research associate 0.000
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sr web developer 0.000
planner 0.000
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commodity broker 0.000
engineering technician 0.000
software support engineer 0.000
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labor 0.000
charge nurse 0.000
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vp finance 0.000
software engineer 0.000
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office work 0.000
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collections 0.000
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csa 0.000
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actuary 0.000
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porter 0.000
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tech 0.000
web developer 0.000
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line lead 0.000
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staff 0.000
cnc programmer 0.000
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crna 0.000
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vp sales 0.000
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sr business analyst 0.000
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hr 0.000
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1sg 0.000
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loader 0.000
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employee 0.000
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owner operator 0.000
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office specialist ii 0.000
house patient care manager 0.000
senior associate engineer 0.000
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captain-fire department 0.000
intervention specialist 0.000
coffee roaster 0.000
toolmaker 0.000
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 0.133
TX 0.081
NY 0.079
FL 0.073
IL 0.038
NJ 0.034
OH 0.034
GA 0.033
NC 0.030
PA 0.030
VA 0.026
AZ 0.026
MD 0.025
MI 0.024
MA 0.024
CO 0.024
WA 0.024
CT 0.018
IN 0.018
TN 0.017
MN 0.016
MO 0.016
NV 0.016
SC 0.014
OR 0.013
WI 0.013
AL 0.012
KY 0.010
LA 0.010
KS 0.009
OK 0.008
MS 0.007
AR 0.007
WV 0.007
UT 0.006
NE 0.006
RI 0.005
NH 0.005
NM 0.004
ID 0.004
HI 0.004
AK 0.003
ME 0.003
DE 0.002
MT 0.002
VT 0.002
SD 0.002
WY 0.002
DC 0.002
ND 0.001
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 0.479
RENT 0.386
OWN 0.135
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 0.412
Not Verified 0.359
Verified 0.229
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 0.420
Source Verified 0.343
Verified 0.237
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 0.514
credit_card 0.225
other 0.091
home_improvement 0.068
major_purchase 0.030
medical 0.016
house 0.015
car 0.013
small_business 0.012
moving 0.007
vacation 0.006
renewable_energy 0.001
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 0.85
joint 0.15
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 0.304
C 0.265
A 0.246
D 0.145
E 0.034
F 0.006
G 0.001
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 0.065
B2 0.064
B5 0.063
C1 0.060
B4 0.058
C2 0.057
A4 0.057
B3 0.054
A3 0.050
C4 0.050
C3 0.050
A5 0.048
C5 0.048
A2 0.048
A1 0.042
D2 0.032
D1 0.032
D3 0.031
D5 0.026
D4 0.023
E5 0.009
E4 0.007
E3 0.007
E2 0.006
E1 0.004
F1 0.003
G1 0.001
F3 0.001
F2 0.001
F4 0.000
F5 0.000
G4 0.000
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 0.362
Jan-2018 0.340
Feb-2018 0.299
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 0.938
Fully Paid 0.045
In Grace Period 0.007
Late (31-120 days) 0.007
Late (16-30 days) 0.004
Charged Off 0.001
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 0.821
fractional 0.179
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 0.928
DirectPay 0.072
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
log_reg = LogisticRegression(multi_class = 'multinomial', solver = 'lbfgs', max_iter = 1000, random_state = 42)
log_reg.fit(X_train_pca, y_train)
predictions = log_reg.predict(X_test_pca)
print("Logistic Regression Accuracy:", accuracy_score(y_test, predictions).round(3))Logistic Regression Accuracy: 0.5
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).round(3)
# 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
model = Sequential()
model.add(Dense(10, input_dim = X_train_pca.shape[1], activation = 'relu'))
model.add(Dense(1, activation = 'sigmoid'))
model.compile(loss = 'binary_crossentropy', optimizer = 'adam', metrics = ['accuracy'])
model.fit(X_train_pca, y_train, epochs = 100, batch_size = 10, verbose=0)
nn_predictions = model.predict(X_test_pca)
nn_predictions = np.round(nn_predictions).flatten()
print("Neural Network Accuracy:", accuracy_score(y_test, nn_predictions).round(3)) 1/63 [..............................] - ETA: 1s63/63 [==============================] - 0s 242us/step
Neural Network Accuracy: 0.549
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.
