Nick Hand
Data Scientist
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolNick Hand is a data scientist with 13 years of experience applying rigorous, research-grade analysis to public policy, regulatory enforcement, and urban planning. He has translated a Ph.D. in astrophysics into practical data products—leading a team that detected a faint cosmological signal by combining noisy datasets—and later drove transparency and fiscal analytics for the City of Philadelphia and the CFPB. As a lecturer at Penn’s Master of Urban Spatial Analytics, he taught Python-based geospatial data science and visualization with a focus on policy impact and communication. Currently supporting IRS examiners at Voyatek, he blends predictive analytics, compelling visualization, and domain knowledge to make complex technical findings accessible to nontechnical stakeholders. Known for creative problem-solving, he thrives at the intersection of academia, government, and applied data science.
13 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Astrophysics, Doctor of Philosophy (Ph.D.) Astrophysics at University of California, BerkeleyBachelor of Arts (B.A.) Astrophysical Sciences, Bachelor of Arts (B.A.) Astrophysical Sciences at Princeton University
Github Skills (125)
parallel10
python10
mpi4py10
datasets10
parallel-computing10
spatial10
clustering10
geographic10
scale10
astrophysics10
large-scale10
data-analysis10
cosmology10
mpi10
arcgis-server10
Programming languages (6)
Github contributions (5)
MUSA-620-Fall-2019/course-materials
Sep 2019 - Nov 2019
Course materials for MUSA 620 in Fall 2019
Contributions:22 commits, 51 pushes, 1 branch in 2 months
fallmusa2019-fallpython-requests
nickhand/classylss
Jun 2016 - Nov 2017
a lightweight Python binding of the CLASS CMB Boltzmann code
Contributions:1 release, 280 commits, 15 PRs in 1 year 5 months
pythoncmbboltzmannpython-bindingbinding
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