insurance-analytics

EDA of a Corporate Health Insurance dataset to analyze employee demographics, health indicators, lifestyle factors, and insurance premium charges. The project includes data cleaning, statistical analysis, feature exploration, visualization, and business insights to identify key factors influencing healthcare costs and corporate wellness decisions.

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.

Three insurance expert plugins for DeepSeek Harness (DSH) — ops analyst, company analyst, product analyst

Health Insurance Claim Fraud Risk Scoring System: Pendekatan statistik dan pembelajaran mesin (LightGBM & CatBoost) untuk mengesan, mengkuantiti, dan mengutamakan risiko penipuan tuntutan insurans kesihatan di bawah kapasiti audit yang terhad (5%) menggunakan metrik utama NormalizedRecall@5%.

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

Health Insurance Risk Profiling & Underwriting Margin Simulation Portfolio (SQL, Power BI, Python)

An interactive Power BI dashboard delivering insights into insurance policies, premiums, claims, customer demographics, and feedback through dynamic visualizations and data-driven analysis.

Interactive Tableau storyboard & Python data pipeline analyzing 7,647 car insurance claims to uncover demographic risk patterns, vehicle exposure, and underwriting optimization strategies. Scored 57/60 in PGP Data Science.

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 insurance portfolio analytics project using SQL and Power BI to analyse profitability, claims risk, exposure and management actions.

General insurance capital modelling using frequency-severity analysis, Monte Carlo simulation, tail risk, stress testing and diversification analysis in Python.

Synthetic-data insurance distribution analytics portfolio project

End-to-end insurance premium default prediction system under severe class imbalance (94:6). Uses probability-calibrated XGBoost to optimize outreach retention ROI.

Proyek analisis data komprehensif dan pemodelan prediktif untuk klaim asuransi kesehatan individu periode Januari 2024 – Juli 2025. Pemodelan Machine Learning untuk memitigasi risiko kenaikan klaim dan menjaga keterjangkauan premi.

Cross sectional meta analysis of PA and individual 9 rating area reports

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

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 risk analytics using exploratory data analysis, statistical testing, predictive modeling, and an interactive Streamlit dashboard.

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.