Hyundai Card Late Payment Prediction I-Tag

もっと見る

THE PROJECT APPROACH

Javier Espinosa Gallardoにより

Computer Engineer

Michael Ancajasにより

About Educo

Colin Robertsonにより

ahmed hussain IT

Ahmed Hussain Salihにより

Unpickle Best Model

Database Insert

Database Query

Pickle Best Model

I-Tags Represent Risk to Future Missed Payments

Store Predictions as I-Tags

Prediction Task

Load Unseen Data Task

Airflow Prediction DAG

Notify

Model Development

• Explore multiple algorithms and optimize with cross validation of model performance and grid/random search for optimal hyper parameters

Database Query

Transformation Pipeline Development

• Develop data transformation functions to be implemented by Airflow
• Implement tranformation functions in a transformation pipeline to be executable on both training and test data separately
• important for proper isolation during future training data refreshes (avoid training data getting into test data)

Exploratory Data Analysis

Jupyter Notebook

Evaluate & Select Best Model

• un-pickle training models
• predict test data labels
• evaluate performance
• select and pickle best model for production

Train Model N

Train Model 2

Train Model 1

• un-pickle training data frame
• implement training function to produce model
• pickle model

Transform Task

• Receive path from x-com and un-pickle data frame
• Execute Scikit-Learn transformation pipeline
• Pickle transformed training and test data frames

Load Task

Database-Prototype: Local Postgres Container

Database-Production: Hyundai Card Hive DB

Pickle Pandas data frame and transfer its path to next task

Hyundai Card Borrower Data

Find similar tags to those in the prototype to implement a real prediction model

Mock Borrower Data

Develop prototype while awaiting permission to access Hyundai Card database

Idea: Identify Potential Future Missed Payments

Prediction of late credit card payments to aid Hyundai Card with

• prior to a missed payment, market repayment plans to high risk customers who may be struggling to make monthly payments
• capturing borrower changes in financial circumstances over time
• repayment forecasting

Airflow Training DAG

Develop I-tag that indicates borrow risk of a future missed credit card payment