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

Synthetic personal-lines insurance portfolio built as a governed digital twin, with dataset freezing, validation gates, and actuarial realism.

Insurance policy and claims analytics report built with SQL Server integration, DAX lifecycle logic, and automated scheduled refresh.

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

Predicting insurance charges and identifying key risk divers using regression and regularization.

End-to-end Power BI dashboard for Shield Insurance tracking revenue, customers, DRG/DCG growth, trends, and segmentation by city, sales mode, age group, and policy ID.

> 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.

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.

Production-style ML system for automated insurance claims decisions using a SQL gold dataset, rule + model scoring, FastAPI inference, and explainable outputs.

3-page Power BI insurance report with executive KPIs, drill-through customer details, and feedback sentiment insights using a word cloud.

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.

Python based insurance analytics model demonstrating claims workflow automation, underwriitng risk segmentation, and pricing adequacy analysis.

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

INSURA-PULSE: A high-performance Insurance premium regression suite featuring a multi-engine terminal and outlier diagnostics along with real-time MAE benchmarking

Power BI dashboard analyzing insurance premiums, policy distribution, and business insights using interactive visualizations.

Machine learning model comparison for insurance risk prediction using Linear Regression and Random Forest.

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

An interactive Business Intelligence (BI) dashboard developed in Tableau to visualize insurance claims frequency, regional risk distribution, and policy profitability through dynamic KPI tracking and geospatial mapping.

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.