MBA Capstone Project - Customer Churn Prediction & Retention

• Utilized data cleaning, transformation, and visualization skills to provide actionable insights for effective campaign planning to identify potential churners and enhance decision-making.

• Played a pivotal role in deploying Python for feature engineering, implementing strategies for missing value treatment and outlier detection.

• Actively participated in exploratory data analysis, conducting both univariate and multivariate analysis using Python to uncover valuable insights for optimizing the churn prediction model.

Problem Statement | Python Code File | Final Report