Kaushik Mohan
Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolKaushik Mohan is a data scientist with eight years of experience applying statistical and computational methods to social good, particularly in education and policy. He has held progressive roles at Two Sigma Data Clinic—rising from intern to VP—and contributed data-driven insights for foundations and civic initiatives including the Overdeck Family Foundation and Data Science for Social Good. Trained at NYU in Applied Statistics for Social Science Research and pursuing a PhD in Statistics and Computational Social Science, he blends rigorous methodology with practical impact. His background spans industry analytics and nonprofit consulting, with earlier quantitative experience in equities structuring at Deutsche Bank and product-focused data leadership at a fintech startup. Known for turning complex mobility and behavioral datasets into actionable policy recommendations, he favors projects that measurably improve outcomes for learners and communities. Based in New York, he combines academic depth with hands-on deployment experience across interdisciplinary teams.
8 years of coding experience
9 years of employment as a software developer
Indian Institute of Technology MadrasSri Sankara Sr. Sec. SchoolMaster of Science - MS, Applied Statistics for Social Science Research, Master of Science - MS, Applied Statistics for Social Science Research at New York University
Github Skills (52)
nyc10
estimate10
boundaries10
transit-data9
centerline9
mta9
aggregates9
open-data8
climate-change8
border8
r-package7
voronoi7
htmlwidgets7
shiny6
machine-learning6
Programming languages (7)
Github contributions (5)
tsdataclinic/newerhoods
Dec 2018 - Jan 2023
A Data Clinic project that aggregates NYC Open Data at the tract-level and uses Machine Learning techniques to re-imagine neighborhood boundaries.
Contributions:2 releases, 43 commits, 12 PRs in 4 years 2 months
boundariesneighborhood-boundariestechniquesdata-scienceimagine
priism-center/backpack
Oct 2018 - Mar 2019
Contributions:1 release, 65 commits, 19 pushes in 5 months
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