insurance-analytics

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.

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.

Insurance fraud detection case study using exploratory data analysis, machine learning, and business-focused model evaluation.

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

End-to-end insurance data platform: extracts from Postgres, JSON/SFTP, CSV, and a weather API into S3, validates with Great Expectations, transforms with pandas, and loads a Snowflake star schema. Orchestrated with Airflow, both locally via Docker and in production on Amazon MWAA.

보험설계사들을 위한 영업 에이전트, 기록 서비스

End-to-end motor insurance claim frequency modelling using a Poisson GLM for actuarial pricing, risk analytics and underwriting decision support.

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

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

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

Insurance portfolio analytics project using SQL, Python, and Power BI to evaluate profitability, claims risk, broker performance, payment behavior, and customer retention.

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.

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

Collection of end-to-end financial analytics and machine learning projects including credit risk modeling, customer segmentation, and insurance premium prediction.