Lifecycle-based analytics of auto-renewal policies, analysing customer awareness, timing risk, escalation drivers, and preventable complaint patterns.

CAS Workers Compensation Reserving Case Study. Loss Development Factors, Catastrophe/Outlier Analysis, Ultimate Loss Estimates, Frequency-Severity.

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

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.

> 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.

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.

Interactive Power BI dashboard for insurance analytics analyzing revenue, customer growth, sales modes, and age-group behavior with month-over-month performance insights.

End-to-end motor insurance analytics project using a two-stage (hurdle) modeling approach to predict claim occurrence and claim severity. Combines business analysis, machine learning, and risk insights to support underwriting, pricing, and claims optimization in General (P&C) Insurance.

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.

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