Shuyang Du is a highly talented data scientist with a strong background in economics, operations research (OR), machine learning (ML), and statistics. He currently works as a Data Science Tech Lead Manager at Uber, leading three data science teams covering Rider Incentives, Loyalty Program, and Subscriptions. He uses cutting-edge causal machine learning techniques to solve real-world problems that bridge the digital and physical world.

Du's impressive educational background includes studies at the NO.1 Middle School affiliated to CCNU, Stanford University, and Carnegie Mellon University - Tepper School of Business, where he earned his master's degree in Computational Finance. He also graduated from Wuhan University with a bachelor's degree, double majoring in Mathematics and Economics, achieving a remarkable GPA of 3.95/4.

Throughout his career, Du has held multiple roles at Uber, including Senior Data Scientist - Tech Lead Manager, Senior Data Scientist, Data Scientist II, and Data Scientist I. He has also worked as a Part-time Quantitative Researcher at Athena Capital Research LLC, a Quantitative Trading Summer Analyst, a Quantitative Strategist at Cedar Capital, and he has served as a Teaching Assistant and Research Assistant at Wuhan University.

Du possesses a wide range of skills and areas of expertise, and his professional interests include data science, economics, machine learning, statistics, and operations research (OR). He is passionate about solving real-world problems with data-driven solutions, and he is a true asset to any data science team.