Telco Customer Churn: End-to-End ML Product
An end-to-end ML product for identifying at-risk telecom customers before they leave, from raw data exploration through to a deployed Streamlit prediction app. Built on 594K synthetic training rows from the IBM Telco dataset. The key finding: cost-sensitive modelling delivers 25x more business value than a standard classifier at identical AUC.