Churn analysis for a telecom operator

You can play with the dashboard on https://tele-churn.fly.dev/

In this project, we will analyze customer behavior using :

• Exploratory Data Analysis
• Customer Segmentation using RFM Analysis
• Market Basket Analysis

Output and execution

• Exploratory data analysis is cached after calculation at run time
• Market basket analysis breakdowns are prepared and persisted to disk during application deployment

How to run for local development

1. Rename the .envrc-example to .envrc and specify values for environment variables
2. Load environment variables use direnv allow in the project's directory
3. Make sure that you have python and poetry installed with asdf install
4. Install project dependencies with make deps
5. Run tests with make tests, run server with make server