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.

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

Insurance analytics project comparing flat vs risk-based pricing under catastrophe risk using A/B testing, Monte Carlo simulation, VaR/TVaR, and Streamlit.

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

End-to-end Databricks/AWS lakehouse project with Bronze/Silver/Gold layers, GDPR-aware data quality, dashboard views and AI-ready fraud analytics.

Production-style regression project for predicting insurance claim amounts using advanced modeling techniques, feature analysis, and business-driven insights.

Data management project building an Insurance Analytics Base Table (ABT) in MySQL + R, with data quality checks, winsorisation, and channel/product insights.

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

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.

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.

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.

End-to-end BI project simulating and analyzing a car insurance portfolio with 1M+ records to derive insights on claims trends, loss ratio, and business risk using Python, SQL and Power BI.

> 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.

Analytics project delivering real‑time visibility of premium limits across complex portfolios. Transforms raw submissions into forward‑looking risk intelligence with early‑warning thresholds and capacity insights, enabling controlled growth, revenue protection, and governance‑ready decision‑making.

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

Privacy-preserving machine learning project for insurance benefit prediction, similar-customer retrieval, and feature obfuscation.

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.

Geospatial underwriting lab for climate, terrain, and exposure-informed insurance decisions.

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