Starbucks-Capstone-Challenge

Using k-means to perform Starbucks mobile app's customer segmentation and determine which demographic groups respond best to their promotion offer

McKinsey-Analytics-Online-Hackathon-

Using XGBoost in Python, we built a prediction model to determine clients propensity to renew their insurance policy and create an incentive plan for agents (at policy level) to maximise the net revenues from these policies.

Predictions-models-for-Store-Expansion-Project

Using Alteryx, we used multiple analytical techniques to provide recommendations on a grocery store chain expansion project.

Baseball-Players-Data-Visualization-Project-

Using Tableau, the objective of this investigation is to find visual evidence that a baseball player's BMI and handedness can be a determinant in its performance measured by its batting average and number of home run.