Insurance risk analytics for 10 Academy. Includes EDA, DVC, A/B testing, and XGBoost modeling for claim severity and pricing, with SHAP analysis.

Quantify 2025 Energy Risk & Insurance Case Modeling high-loss CAT events and developing parametric risk triggers to support renewable energy expansion. Includes ML code, writing report, and Presentation.

> Shield Insurance Analytics > A data-driven approach to analyzing revenue trends, customer segmentation, and sales mode performance in the insurance sector. This project provides structured insights to optimize engagement strategies, enhance policy targeting, and improve overall business decision-making.

SQL + Power BI case study detecting claim severity & leakage: reserve adequacy, vendor IQR outliers, missed subrogation/late FNOL, duplicate payments. End-to-end T-SQL (staged → core → mart) + executive dashboards.

A Power BI dashboard analyzing Shield Insurance's customer segmentation, revenue trends, and sales performance across cities, age groups, and sales modes.

Insurance Company Analytics is a Power BI and Excel project focused on evaluating customer demographics, total policies, and total claims. Using Excel for data preparation and Power BI for visualization, the project highlights overall company performance and key metrics to support better business decisions.