Churn prediction
Case
It is much cheaper for the company to retain existing client than to acquire a new one.
The problem is how to recognize and predict the intention to leave and which steps to make to retain the client and what does the company have to offer to if it does not want to lose the client?
Solution
Implementation of churn prediction model using machine learning tools with automatically gathered data from different database sources. The output of the model was a probability of subscribers churn in a shortcoming perspective. The mathematical model was implemented using Python
Challenges
Project info
Industry
Telecommunication
Case
Identify churners and define ways to retain them
Technologies
PL/SQL, MS SQL, Python
Team
DB Developer, 2 Data Analysts, Project Manager.
Terms
2 months for complete implemented model