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early-risk-prediction

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A data-driven framework for customer segmentation and early-risk prediction using transactional data, RFM analysis, and machine learning. This repository supports an academic research study.

  • Updated Jan 20, 2026
  • Jupyter Notebook

Early Risk Signals: Credit Card Delinquency Watch - AI-powered predictive analytics for proactive credit risk management. Machine learning models (Random Forest & Gradient Boosting) analyze behavioral patterns to identify at-risk customers before default, enabling 30-40% reduction in losses.

  • Updated Dec 4, 2025
  • Python

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