Ravi Sojitra

Research Data Scientist

Palo Alto, California, United States
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Summary

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Senior
🎓
Top School
Ravi Sojitra is a Research Data Scientist and final-year PhD candidate at Stanford specializing in causal inference and machine learning, advised by Guido Imbens and Vasilis Syrgkanis. With nine years of experience spanning academia and industry, he has applied causal methods to platform problems like network effects and dynamic treatment regimes at Stanford, Meta, and Microsoft Research. Currently at Google working on AI metrics, he brings a rare blend of rigorous theoretical training and hands-on applied science across large-scale product settings. His background includes internships in applied search marketing at Amazon and teaching graduate courses on prediction, inference, and causality, reflecting both technical depth and pedagogy. Trained originally in biology and philosophy, Ravi combines interdisciplinary thinking with advanced statistics from NYU to tackle practical questions about cause and effect in complex systems.
code9 years of coding experience
job4 years of employment as a software developer
bookB.A. in Biology & Philosophy, B.A. in Biology & Philosophy at Rutgers University–Newark
bookM.S. in Applied Statistics for Social Science Research, M.S. in Applied Statistics for Social Science Research at New York University
bookDoctor of Philosophy - PhD, Management Science & Engineering, Doctor of Philosophy - PhD, Management Science & Engineering at Stanford University
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Github Skills (6)

classification10
python9
video-processing3
log4j3
scientific-computing2
logging2

Programming languages (2)

RPython

Github contributions (5)

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RaviSoji/plda

Aug 2020 - Dec 2021

Probabilistic Linear Discriminant Analysis & classification, written in Python.
Contributions:48 commits, 52 PRs, 190 pushes in 1 year 4 months
classificationpython
RaviSoji/colab_utils

Aug 2018 - Oct 2020

Contributions:31 pushes, 1 comment, 1 issue in 2 years 2 months
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