Week 3 Insurance Analysis

This repository contains code and analysis for the Week 3 project at 10 Academy, undertaken as a Marketing Analytics Engineer at AlphaCare Insurance Solutions (ACIS). The project analyzes historical car insurance claim data from February 2014 to August 2015 to optimize marketing strategies and identify low-risk targets for premium reduction in South Africa.

Project Overview

• Business Objective: Enhance marketing strategies and attract new clients by analyzing risk and profitability patterns.
• Data: Historical insurance data with columns on policy, client, location, car, plan, and claims (available at [data link]).
• Tasks:
  • Task 1: Git setup, EDA, and statistical analysis.
  • Task 2-4: (To be added as completed).

Files

• data/: Directory for raw and processed datasets.
• notebooks/: Jupyter notebooks for analysis (e.g., eda_insurance.ipynb).
• .github/workflows/: GitHub Actions workflows.
• requirements.txt: Python dependencies.

Setup

• Clone the repo: git clone https://github.com/your-username/week-3-insurance-analysis.git.
• Create a virtual environment: python -m venv venv.
• Activate it: venv\Scripts\activate (Windows) or source venv/bin/activate (Linux/macOS).
• Install dependencies: pip install -r requirements.txt.

References

• Insurance Glossary: 50 Common Insurance Terms
• A/B Testing: Benefits of A/B Testing