Customer Churn — Analysis & Predictive Model
Why do customers leave a California telecom company? An exploratory analysis of 7,043 customers by contract, services and demographics, plus a logistic regression model (AUC 0.86) that catches 8 out of 10 churners on unseen data. Active customers are ranked by churn risk, ready for a retention campaign. Built with R (tidyverse, caret, pROC) and visualized with D3.js.





