Summary
Brian Tsai is a data scientist with eight years of experience building data-driven solutions and machine learning models, currently applying his skills at Charles Schwab after developing environmental predictive models for the US Geological Survey at Cherokee Federal. He holds a M.Sc. in Computer Science from Purdue and a B.S. from LSU, where he began hands-on ML research supporting academic and government projects. Comfortable across the ML lifecycle, Brian combines Python-driven analysis, visualization, and production-ready modeling to turn messy environmental data into actionable insights. Based in Austin, he has a pragmatic focus on collaboration and reproducibility, often bridging research code into operational pipelines. Though his GitHub presence is minimal, his professional track record emphasizes delivering measurable impact in regulated and research-heavy domains.
8 years of coding experience
1 year of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Purdue University
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Louisiana State University
English