deburky/credit-risk-modeling-on-aws
Credit Risk Modeling on AWS project
This project provides practical, ready-to-use implementations for building credit risk models and integrating them into business workflows. It takes customer application data or existing customer profiles as input and outputs real-time credit scores, batch credit decisions, or manages credit limit adjustments. Credit analysts, risk managers, and data scientists in financial institutions would find this useful for operationalizing machine learning in lending.
Use this if you need concrete examples and infrastructure as code to deploy and manage credit scoring models for real-time applications, batch processing, or A/B testing on AWS.
Not ideal if you are looking for a theoretical guide to credit risk modeling without an emphasis on practical AWS deployment, or if you prefer to build ML infrastructure from scratch without cloud services.
Stars
18
Forks
8
Language
Python
License
MIT
Category
Last pushed
Jan 26, 2026
Commits (30d)
0
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