Machine Learning-Based Fraud Detection Engine

Developed a machine learning-based fraud detection engine for transaction risk analysis. Implemented feature engineering on financial data, trained classification models, and optimized for precision-recall balance. Built real-time risk scoring logic and integrated model predictions into backend APIs for automated fraud flagging. Improved anomaly detection and reduced false positives.