•Conduct significance tests and deploy a shiny app for the AB testing and compare the performance of the test group vs. the control group and assess the campaign’s effectiveness.
• Created and visualize player segments for a specific product based on the RFM score and determine which of these players are mostly winning and mostly losing.
• Built clusters of members based on their behavior using data mining techniques and evaluate members profitability.
• Built and deploy a model to forecast future revenue for specific product for the stakeholder.
• Built a model to predict potential vip members based on their behavior.
• Create summary statistics using R markdown and evaluate products or company’s performances.
