tib-dev/Predictive-Modeling

Analyze historical car insurance data from AlphaCare Insurance Solutions (ACIS) in South Africa to uncover low-risk segments, optimize premiums, and support data-driven marketing strategies. # Insurance Risk Analytics & Predictive Modeling — ACIS Project Analyze historical car insurance data from AlphaCare Insurance Solutions (ACIS) in South Africa to uncover low-risk segments, optimize premiums, and support data-driven marketing strategies. --- ## Table of Contents - Project Overview - Business Objective - Dataset Overview - Folder Structure - Architecture - Setup & Installation - Tasks Completed - Technologies Used - Key Insights --- ## Project Overview This project covers end-to-end insurance risk analytics and predictive modeling: - Understanding historical insurance policies, claims, and premiums - Exploratory Data Analysis (EDA) to identify patterns and outliers - Statistical hypothesis testing to validate risk drivers - Feature engineering and data preprocessing - Predictive modeling for: - Claim severity - Premium optimization - Probability of claim occurrence - Visualization and reporting of insights for business strategy --- ## Business Objective AlphaCare Insurance Solutions aims to: - Identify low-risk segments for targeted marketing - Optimize premiums to attract new clients while maintaining profitability - Understand key factors driving claims and losses - Support strategic decisions for product design and pricing --- ## Dataset Overview **Historical Insurance Data (Feb 2014 – Aug 2015):** | Column | Description | | --------------------- | ------------------------------------------------ | | PolicyID | Unique insurance policy ID | | TransactionMonth | Month of policy transaction | | Gender, MaritalStatus | Client demographics | | Province, PostalCode | Client location | | VehicleType, Make, Model | Vehicle details | | TotalPremium | Premium paid | | TotalClaims | …