fintech-analytics

ESG risk scoring model analysing Fortune 500 sustainability metrics to classify corporate environmental risk for banking and lending decision support.

Built a production-ready customer segmentation system using K-Means clustering with PCA-based dimensionality reduction. Designed full ML pipeline with API deployment, Docker support, and monitoring strategy for scalable fintech applications.

End-to-end credit risk modeling and loan default prediction using LendingClub data

Enterprise fraud risk intelligence platform with anomaly detection, explainable AI, transaction monitoring, audit analytics, and ML-based fraud detection dashboards.

Interactive 4-page Power BI dashboard analyzing PhonePe digital payment trends across states, districts, categories, and mobile brands. Built with Python, MySQL, it evaluates GTV concentration, merchant adoption, market penetration, and seasonality—delivering metric-backed insights for fintech growth and regional expansion strategies.