In this project, you will analyse customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn and identify the main indicators of churn.

This case study provides a practical application of EDA techniques in a real business context. Beyond utilizing EDA methods, the goal is to foster a fundamental comprehension of risk analytics within the banking and financial services sector. The focus extends to understanding the role of data in mitigating financial risks associated with lending.