Imran Hasan
Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolImran Hasan is a data scientist in New York with 11 years of experience blending physics research and applied machine learning to solve complex data problems. At Nielsen he applies statistical modeling and ML to business-scale datasets, building on a PhD in Physics from UC Davis where he constrained cosmological models using galaxy correlations and lensing. His background includes managing astronomical observatory data pipelines and mentoring students, reflecting strong data engineering and scientific communication skills. Comfortable moving models from research to production, he also has hands-on experience with observational scheduling, archival systems, and bespoke visualization tools. That mix of academic rigor and production experience makes him adept at turning noisy, real-world data into actionable insights.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of California, DavisBachelor of Science (BS), Physics and Astronomy, Bachelor of Science (BS), Physics and Astronomy at University of Rochester
Github Skills (12)
blending9
jupyter-notebook8
notebook8
jupyter8
python7
pipeline7
photo6
image-processing5
truth3
galaxy2
validation2
validation-framework2
Programming languages (2)
Github contributions (5)
LSSTDESC/pz_blend
Mar 2020 - May 2021
impact of blending on photo-zs using DC2 truth catalogs and image catalogs
Contributions:57 commits, 32 PRs, 37 pushes in 1 year 2 months
truthcatalogsimage-processingblendingphoto
ih64/DLS3x2
Jul 2018 - Mar 2021
Contributions:50 pushes, 7 branches in 2 years 9 months
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