solutions for reducing churn rate in telecom industry
insights from telecom industry data for churn reduction
profiles found from customers segmentation analysis (machine learning, clustering) in telecom industry data
predictor results to help reducing churn rate in telecom industry (machine learning, prediction, classification)
conclusions from solutions about churn rate reduction for telecom client

Churn solutions for telecom client

Description

✨ The current project is a basic approach of data analysis and machine learning modeling to get business insights and propose strategies of customer segmentation and churn prediction to mitigate the high churn rate.

✨ Data analysis highlighted characteristics that directly impact financial return and customer loss.

✨ Customer segmentation highlighted important profiles for the application of targeted retention and revenue strategies.

✨ With the developed predictor, we were able to mitigate user loss by up to 81%.

Made with: Python, Scikit-Learn, Pandas, NumPy, Matplotlib, and Seaborn.