- Cleaned and split raw data, imputed missing values, transformed existing features and created new predictors - Explored and visualized feature distributions, identified [Ticket Fare], [Life Stage], [Age] as key importance features - Implemented resampling and grid search to cross-validate hyper-parameters in predictive models (SGB, boosted logit regression, flexible discriminant analysis, SVC) to attain higher ROC