Kai Tam is a data analyst with eight years of experience applying machine learning and analytics to drive HR and operational insights at Lawrence Livermore National Laboratory, where he consistently delivered models with >90% accuracy for termination prediction and earned a Certificate of Excellence during the COVID-19 response. He combines strong statistical training (UC Davis) and a Machine Learning nanodegree with an MS in Computer Science from Georgia Tech, enabling him to move projects from SQL-backed ETL and dashboards to production-ready models. Kai is skilled at performance tuning—having improved query speeds by 50%—and at translating technical results into actionable recommendations for diverse stakeholders. Curious and fast-learning by nature, he often uncovers non-obvious workforce patterns and focuses on data integrity and reproducible pipelines to ensure reliable decision-making.
8 years of coding experience
5 years of employment as a software developer
Bachelor's Degree, Psychology, 3.0+, Bachelor's Degree, Psychology, 3.0+ at University of California, Davis
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at Georgia Institute of Technology
Nanodegree, Machine Learning, Nanodegree, Machine Learning at Udacity
Contributions:31 commits, 25 pushes, 1 branch in 10 months
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