Jameson Thai is a data scientist with 11 years of software experience and an MS in Data Science from USC, currently applying statistical storytelling and machine learning at Genentech. He blends strong software engineering roots (Java, Python, C, PHP, SQL, web stacks) with practical ML work ranging from Naive Bayes for Amazon review sentiment to 3D MRI lesion detection for stroke patients. Past roles include course production and research at USC—where he guided student ML projects and published on arXiv—and internships that delivered production-ready models at Warner Bros. and data-driven site-selection analytics for clinical studies. Based in San Jose, he enjoys turning gaming-driven curiosity into robust, impact-focused systems and has a demonstrated knack for speeding ML training and automating complex ETL and visualization workflows.
11 years of coding experience
2 years of employment as a software developer
San José State University
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University of Southern California Viterbi School of Engineering
Contributions:88 pushes, 1 branch in 4 years 3 months
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