Xiaoyang Ma

Master's

Management Information Systems

Management

Turbostrat

Data Scientist Machine Learning Intern

- Developed parameter-optimized Random Forest, XGBoost, LightGBM to predict the distribution of Rate of Return as key metrics to understand the user betting strategies and enhanced ads targeting strategies to increase revenue growth for the sport analytics platform - Evaluated the trained ML models based on multiple metrics using F1, AUC, Precision, Recall, conducted feature engineering to avoid - Identified and measured the success of product efforts in ads targeting strategies through goal setting, planning, and monitoring of key - Collaborated cross-functionally with a team of product managers and engineers to develop and iterate on product features and strategy