This is a final analysis project during Le Wagon bootcamp.
- 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.
- Inferential Statistics
- Machine Learning
- Classification (Boosting)
- Clustering (k-means)
- Data Visualization
- Python
- Google Collab