Ke Tang

Ke Tang is a Principal Data Scientist at Microsoft, ISE, where they work with customers to address complex technical challenges in both cloud and edge computing. With over 13 years of experience in data mining and predictive analytics, Ke has a strong background in building big data business solutions, particularly in card and P2P payment fraud detection over the past 8 years. Their previous roles include leading data engineering and analytics at Opera Solutions, as well as guiding machine learning model development at SAS. Ke holds a Master’s degree in Computer Science from the University of California, San Diego, and a Bachelor’s degree from Peking University.