• Performed Exploratory Data Analysis (EDA) on customer datasets to identify churn patterns and key influencing factors • Conducted data preprocessing, feature engineering, and statistical analysis using Python (Pandas, NumPy) • Created visualizations using Matplotlib and Seaborn to highlight churn drivers and retention risks • Generated insight reports to support customer retention strategies