This project presents an in-depth analysis of customer churn in the telecommunications industry. By examining various factors that contribute to customer attrition, we aim to uncover key patterns and trends that drive customers to discontinue their services. The analysis includes data exploration and the application of machine learning algorithm to identify the most influential variables in predicting customer churn. The insights gained from this study can help telecom companies develop targeted strategies to improve customer retention and satisfaction.