• Wrangled and dumped dataset into Jupyter Notebook to pre-process and perform exploratory data analysis using Python • Implemented and tuned multiple machine learning models with k-fold cross-validation and hyper-parameter tuning to achieve the best accuracy of 83% using decision tree classifier algorithm • Evaluated models’ performance from multiple metrics such as accuracy, confusion matrix, F1 score, and ROC curve