Summary
Yinxiang Gao is a data scientist with 10 years of hands-on experience building intelligent systems and shipping production ML-driven products. Based in New York, he has progressed from data engineer to data scientist at Click Therapeutics, where he architected a ground-up personalized messaging system and led analytics efforts to improve mobile app engagement. He is fluent in Python, SQL, Node.js, React (web and native), Docker and AWS, combining applied statistics training from Columbia with an applied mathematics background from Peking University. Comfortable spanning engineering and analytics, he routinely designs end-to-end solutions—data pipelines, model development, and frontend/service integrations—to turn experiments into user-facing features. An unusual strength is his full-stack fluency that lets him optimize both model performance and the delivery stack that serves it.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.Sc.), Applied Mathematics, Bachelor of Science (B.Sc.), Applied Mathematics at Peking University
Master of Arts (M.A.), Statistics, Master of Arts (M.A.), Statistics at Columbia University in the City of New York
English, Chinese