Objective: Predicted customer satisfaction ratings and performed customer segmentation using clustering.
Dataset: Used customer support tickets for tech products, including details on customer information, product purchased, ticket type, and resolution.
Methods: Preprocessed data by handling missing values and encoding categorical variables, built Random Forest and Decision Tree classification models, and applied KMeans clustering.