Predictive Financial Fraud Detection System
Machine Learning & Data Science
End-to-end supervised Machine Learning pipeline for automated fraud detection in high-volume transaction streams.
96.4%Random Forest model achieving an optimized F1-score
- Advanced feature engineering, normalization, and class rebalancing (SMOTE)
- Reproducible Scikit-Learn pipeline with rigorous stratified cross-validation
Architecture
- Python
- Scikit-Learn
- Pandas
- Random Forest
- Matplotlib
- Seaborn


