Saptarshi Guha is a seasoned data science leader with 16 years of experience applying rigorous statistical methods to product and engineering problems, now managing data science efforts at Apple in San Francisco. He has deep expertise in experimental design, forecasting, and building predictive indices, honed through roles at Mozilla where he led a platform-focused data science team improving Firefox stability, performance, and compatibility. Comfortable translating complex analyses for senior stakeholders, he mentors teams on statistical validity and embeds research-grade methods into production decision-making. His background spans academia (PhD in Statistics) and industry, from statistical software at Revolution Analytics to analytical roles at GE Capital, reflecting both practical impact and methodological breadth. An often-overlooked strength is his track record of bringing statistical rigor to cross-functional engineering projects, turning nuanced experimental signals into actionable product improvements.
16 years of coding experience
10 years of employment as a software developer
M.Stat, Math. Statistics and Probability, M.Stat, Math. Statistics and Probability at Cybersecurity
Phd, Statistics, Phd, Statistics at Purdue University
R Scripts that Create Summaries from 1% Sample of the FHR Data
Contributions:79 commits, 9 PRs, 77 pushes in 1 year 8 months
r-packager-scriptssummariesrstats
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