Heyning Cheng

Heyning Cheng is an applied data scientist, inventor, and innovator with a hands-on approach and a keen interest in data products. He excels in mining data for insights, actionable recommendations, and identifying future product opportunities. Heyning's expertise lies in data products, recommendation systems, applied machine learning, goal-oriented analytics, semantic search, information extraction, agile data science, rapid prototyping, software architecture, technical management, and start-ups. He holds an MBA in Finance from Santa Clara University's Leavey School of Business, a B.S. in Computer Science from Stanford University, and an M.S. in Computer Science from the University of California, Berkeley. Heyning has held key positions in renowned organizations, including Senior Data Scientist roles at Coursera and LinkedIn, Information Retrieval Architect at Spock, and Director of Engineering at Array Networks.