Developed a machine learning system to detect fraudulent transactions in real-time for a digital banking platform, using behavioral and transactional data.

Tech:

• Python, XGBoost
• Apache Spark for big data processing
• FastAPI, PostgreSQL for backend integration

Impact:

• Reduced false positives by 30% compared to legacy systems
• Saved $2.5M in fraud losses within six months