August 25, 2026

Telecom Customer Churn Analysis

Tools used: Excel, RStudio (R), MySQL, and Power BI.

Interactive Dashboard Preview

Why do customers leave, and what makes them stay?
This data analytics project dives deep into the internet services industry to uncover the root causes of customer churn.
By transforming raw data into actionable strategic insights, this analysis provides telecom companies with a clear roadmap to boost customer loyalty, optimize retention strategies, and secure long-term revenue.

Project Highlights & Impact

  • 70,000+ Customers Dataset: Cleaned, structured, and organized a massive dataset to ensure accurate, high-fidelity business insights.
  • Advanced Trend Analysis: Leveraged R for robust summary statistics, trend analysis, and discovering critical behavioral patterns driving customer attrition.
  • Executive Visualizations: Designed high-impact data visualizations and interactive dashboards to translate complex numbers into clear business trends.

Preview Statistical Reports