End-to-end customer churn prediction — EDA, Random Forest, SHAP explainability, and a Streamlit dashboard with real-time predictions.

Counterparty exposure and collateral risk analytics covering eligibility assessment, haircut application, collateral sufficiency, concentration monitoring, and stress testing.

Climate Trend Analyzer is a data science project that analyzes historical climate data to detect anomalies, visualize trends, and forecast future temperature patterns using Python and Streamlit.