Churn and Cluster Analysis for a Telecom Company

This is a final analysis project during Le Wagon bootcamp.

Project Status: [Completed]🫶

Project Intro/Objective

• The client: CMO of the telecom company
  • A telecommunications company (fictional) based in California.
  • Provides home phone lines, internet, and streaming services (TV/movies/music).
• Problems of clients:
  • Feels that the number of churners increased but does not know current performances due to the lack of data people.
• Goals:
  • Provide a clear view of current performances.
  • Present the main drivers of the customers’ churn.
  • Provide insights on customer segmentation.
  • Give recommendations for the next step based on our findings.
• Data Source:
  • Open source dataset provided by Maven Analytics, e-learning providers based in the US.

Methods Used

• Inferential Statistics
• Machine Learning
  • Classification (Boosting)
  • Clustering (k-means)
• Data Visualization

Technologies

• Python
• Google Collab