Data Scientist with a background in finance β I build ML systems that help financial institutions reduce fraud, manage credit risk, and make smarter decisions.
| Project | What It Does | Stack | Live |
|---|---|---|---|
| FraudGuard | Fraud detection on 6.3M transactions β 0.9997 AUC, 95.8% fraud recall | Python, XGBoost, Streamlit | Demo β |
| CreditRiskAI | Agentic AI system for loan delinquency management with ethical guardrails | Python, Streamlit, Agent Architecture | Demo β |
Python SQL XGBoost Scikit-learn Streamlit Power BI Pandas Jupyter