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.

Production-ready analytics portfolio for Saif Essam, featuring CRM, sales, insurance, statistical modelling and R Shiny projects.

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

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

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

An end-to-end data analytics project analyzing policy lapsation and customer retention for an Indian insurance company — ShieldLife Insurance — built to simulate a real-world BFSI analytics workflow.

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

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.

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.

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.

Power BI dashboard for PRISM Insurance — tracks ₹5.98M premium, ₹600.55M coverage & ₹16.91M claims across Auto, Health, Life, Travel and Home policies

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

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

End-to-end analytics project testing whether Australian macroeconomic indicators (ABS, RBA, APRA) can predict general insurance claim severity 2–4 quarters in advance. Includes lead-lag correlation analysis, OLS/Ridge/Lasso regression, stress-test scenarios, and an interactive Streamlit dashboard.

Automated policy renewal reporting pipeline using SQL, Power Automate, and Office Scripts to ensure timely renewal tracking and operational efficiency.

Machine learning project for predicting insurance claim severity using feature engineering, Random Forest, XGBoost, SHAP explainability and business-focused risk analysis.

Insurance claims analytics platform analyzing claim costs, risk patterns, fraud indicators, and operational KPIs using SQL, Python, Tableau, and Streamlit to support data-driven insurance decisions.