Customer Retention & Churn Analysis - Python Project
Analyzed telecom customer churn data using Excel and Python to identify customer retention patterns, churn drivers, and high-risk customer segments
Performed exploratory data analysis using Pandas, Matplotlib, and Seaborn to study contract behavior, customer tenure, pricing trends, and service-based churn patterns
Identified key insights such as high churn among month-to-month customers, early-stage users, premium-priced plans, and customers without tech support
03 Jun 2026
Keywords
python
data analysis
