Andy Shi is a data scientist with 11 years of experience who blends rigorous academic training—a PhD in Biostatistics from Harvard—with industry impact at Google and EPRI, specializing in large-scale analytics for storage systems and asset management. He develops scalable statistical methods and R/Rcpp software for high-dimensional inference, with published work on COVID-19 dynamics and biobank genetics visible on his Google Scholar profile. At Google he turned telemetry into quantifiable performance gains for storage algorithms, applying counterfactual evaluation and cloud ETL pipelines. Now based in New York, he brings a rare mix of academic rigor, production-grade data engineering, and applied domain knowledge in utilities and public health.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Arts (B.A.), Statistics, Bachelor of Arts (B.A.), Statistics at Harvard University
Contributions:449 commits, 292 pushes, 28 branches in 1 year 11 months
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