Credit Card Spending Prediction Framework
A Multi-Stage Learning Framework for Credit Card Spending Prediction, Risk Segmentation, and Limit Recommendation
A Multi-Stage Learning Framework for Credit Card Spending Prediction, Risk Segmentation, and Limit Recommendation
Champaign, IL • Mar 2025
- Built time series models with rich feature engineering for spending prediction
- Applied clustering (DBSCAN, BIRCH, Hierarchical) with neural network autoencoder-based dimensionality reduction
- Designed a hybrid rule-based & Random Forest recommendation system for credit limit adjustment
- Delivered actionable insights for low-risk growth and risk control