AlphaCares-Insurance-Analytics

Project Overview

This repository contains the analysis of historical insurance claim data for AlphaCare Insurance Solutions (ACIS). The project aims to optimize the marketing strategy and identify "low-risk" targets for potential premium reductions, ultimately attracting new clients.

Business Objectives

1. Analyze historical insurance claim data
2. Optimize marketing strategy
3. Discover "low-risk" targets for premium reduction
4. Attract new clients

Key Components

1. Exploratory Data Analysis (EDA)
2. A/B Hypothesis Testing
3. Statistical Modeling

Project Structure

TellCo-Telecom-Analysis/
    ├── .vscode/
│   └── settings.json
├── .github/
│   └── workflows/
│       └── unittests.yml   # GitHub Actions
├── .gitignore              # files and folders to be ignored by git
├── requirements.txt        # contains dependencies for the project
├── README.md               # Documentation for the projects
├── src/
│   └── __init__.py
├── notebooks/
│   ├── __init__.py
|   ├── insurance_EDA.ipynb            # Jupyter notebook for data cleaning and EDA analysis
|   ├── hypothesis_analysis.ipynb      # Jupyter notebook for A/B Hypothesis Testing analysis 
|   ├── statistical_modeling.ipynb     # Jupyter notebook for Statistical Modeling analysis
│   └── README.md                      # Description of notebooks directory 
├── tests/
│   └── __init__.py
└── scripts/
    ├── __init__.py
    ├── data_processing.py          #  contains a script for data processing and EDA analysis 
    ├── hypothesis_analysis.py      #  contains a script file for A/B Hypothesis testing 
    ├── statistical_modeling.py     #  contains a script file for Statistical modeling 
    └── README.md                   # Description of scripts directory
    

Setup and Installation

1. Clone this repository:

   git clone https://github.com/OL-YAD/AlphaCares-Insurance-Analytics.git
   cd AlphaCares-Insurance-Analytics
   

2. Create a virtual environment:

   python -m venv acis_env
   source acis_env/bin/activate  # On Windows, use `acis_env\Scripts\activate`
   

3. Install required packages:

   pip install -r requirements.txt
   

Usage

1. Activate the virtual environment:

   source acis_env/bin/activate  # On Windows, use `acis_env\Scripts\activate`
   

2. Launch Jupyter Notebook:

   jupyter notebook
   

3. Open the notebooks in the notebooks/ directory to view or run the analyses.

Contributing

This project is part of a 10 Academy KAIM2 Week 3 challenge. Contributions, suggestions, and feedback are welcome from fellow participants and mentors.

Acknowledgments

• 10 Academy for providing the challenge and dataset

Contact

For any queries regarding this project, please open an issue in this repository.