Data Science, Marketing, Data Analysis, Segmentation, Python.
One-hot-encoded offer types, genders, years joined and event types using get_dummies Dropped age outliers (a number of outlier customers had their age set to 118, and were missing data for several of the other fields) Engineered first receipt, first view and first completion time features (a