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

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