Jack Sklar
Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJack Sklar is a data scientist with eight years' experience applying machine learning and signal-processing expertise to national labs and government research programs. He has built end-to-end deep learning and GAN pipelines for RF waveform modeling at NIST, produced peer-reviewed research on noise and cohort construction, and led microbiome classifier work that contributed to a Nature paper at NIAID. Now based in New York and working at National Grid, he blends rigorous scientific training from McGill (Physics & Computer Science) with production-focused data engineering to translate complex experimental datasets into actionable insights. A creative artist and expert rock climber, Jack brings uncommon visual intuition and problem‑solving resilience to data design and visualization.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.), Physics & Computer Science, GPA 3.47 (Major GPA 3.8), Bachelor of Science (B.S.), Physics & Computer Science, GPA 3.47 (Major GPA 3.8) at McGill UniversityProgramming languages (1)
Github contributions (5)
jacksklar/AGPMicrobiomeHostPredictions
Dec 2017 - Nov 2020
Contributions:38 commits, 24 pushes, 1 branch in 2 years 10 months
Angus-McLean/COMP551-Competition
Mar 2018 - Feb 2019
Contributions:2 pushes in 10 months
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