👉 The previous project involved developing a machine learning model to predict customer churn in a telecommunications company. The model analyzed historical customer data, including usage patterns, billing information, and customer service interactions, to identify key factors that contributed to customers leaving the service. By training on this data, the model achieved high accuracy in predicting churn, enabling the company to implement targeted retention strategies and reduce customer attrition.
