Chitta Ranjan is an AI/ML leader and founder with a PhD in Statistics from Georgia Tech and over a decade of experience building high-impact products and companies. He has taken multiple ventures from seed to multimillion ARR—co-founding GoPrac (EdTech interviews) and helping found ProcessMiner (Industry 4.0 autonomous manufacturing)—and now leads applied science at Amazon, building responsible AI for large-scale fraud and fairness challenges. Known in the community as the author of Understanding Deep Learning and a widely read Medium contributor, his open-source research has attracted significant adoption. He combines deep statistical rigor with pragmatic product execution, routinely translating ambiguous business and legal constraints into measurable roadmaps and scalable ML systems. Based in San Diego, he pairs entrepreneurial grit with experience managing cross-functional teams and delivering measurable customer and operational impact.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at Georgia Institute of Technology
Bachelors & Masters, Bachelors & Masters at Indian Institute of Technology, Kharagpur
An implementation of an efficient heuristic to compute the nonlinear correlations between numeric vectors. The heuristic works by adaptively identifying multiple local regions of linear correlations to estimate the overall nonlinear correlation. The nonlinear correlations estimate has various applications in data exploration and variable selection for nonlinear models.
Contributions:44 commits, 23 PRs, 34 pushes in 2 years 8 months
Contributions:61 commits, 4 PRs, 56 pushes in 3 years 2 months
sequencetransformnearest-neighborsgraphtsne
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