Customer Churn Analysis in Telecom Organization

Abstract

This research focuses into analyzing and forecasting customer turnover within the telecom business by applying modern data analytics and machine learning approaches. Our objective is to create strong prediction models that can accurately detect prospective customers who are likely to churn at early stage. The enquiry involves a comprehensive analysis of past customer data, strategic creation of features, and use of various ensemble techniques.