📊 Telco Customer Churn Analysis

A comprehensive data analysis and machine learning project to understand and predict customer churn in the telecommunications industry.

Notebook Link

🎯 Business Problem

Customer churn is a critical challenge for telecom companies, costing the industry billions annually. This project aims to:

• Identify key drivers of customer churn
• Predict customers at high risk of leaving
• Provide actionable insights for retention strategies
• Reduce churn rates through data-driven interventions

📈 Key Findings

🚨 Critical Insights

• 42.7% of month-to-month customers churn vs 2.9% on two-year contracts
• 55.5% of churn occurs within the first year
• Security services reduce churn risk by 65%
• Electronic check users are 3x more likely to churn

💡 Top Recommendations

1. Convert month-to-month customers to longer contracts
2. Bundle security services into core offerings
3. Implement first-year customer assurance programs
4. Incentivize automatic payment methods

📊 Dashboard Preview

Interactive dashboard showing churn trends, customer segments, and predictive insights