Telecom Customer Churn Analysis & Prediction System

Built a data-driven system to analyze customer behavior and predict churn in a telecom company.

The project focused on identifying key factors influencing customer attrition by analyzing usage patterns, service plans, and customer demographics.

Machine learning models were trained to predict customers likely to churn, helping the business take proactive retention actions and reduce revenue loss.