hiwot7/insurance-risk-analytics

End-to-End Insurance Risk Analytics & Pricing Engine for AlphaCare Insurance Solutions (ACIS) in South Africa, featuring EDA, Data Version Control (DVC), A/B Hypothesis Testing, and predictive modeling (XGBoost/Random Forest). # AlphaCare Insurance Risk Analytics An end-to-end data science and analytics pipeline designed to analyze historical insurance claim data, optimize marketing strategy, and identify low-risk customer segments for AlphaCare Insurance Solutions. ## 📊 Project Overview This repository contains the exploratory data analysis (EDA) framework and data engineering practices built for Task 1 and Task 2 of the interim milestone. The core objective is to calculate underwriting KPIs (Loss Ratios, Profit Margins) across geographical and demographic categories to spot optimization opportunities. ## 📂 Project Structure ```text insurance-risk-analytics/ │ ├── data/ │ ├── insurance_data.csv # Raw historical dataset (git-ignored) │ └── insurance_data.csv.dvc # Data Version Control tracker file │ ├── notebooks/ │ └── 01_eda.ipynb # Core analysis, calculations, and plotting panels │ ├── src/ │ ├── __init__.py # Makes src importable as a module │ ├── data_loader.py # Safe, robust custom dataset loading pipeline │ └── eda_utils.py # Reusable styling and custom visualization functions │ ├── .gitignore # Production-ready file exclusion configuration └── README.md # Project documentation (You are here!)