Jeremy Karnowski

Director, Enablement And Scientific Solutions Partners at TetraScience

Mountain View, California, United States
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Summary

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Jeremy Karnowski is a product and enablement leader with 11 years of experience helping pharma and data-driven organizations extract value from complex datasets and scale engineering and product teams. Currently Director of Product and Enablement at TetraScience, he combines hands-on technical training experience with strategic product launches and enablement programs that drive rapid time-to-value. Previously he built and scaled new business lines and analytics practices at Insight Data Science, where he personally launched revenue-generating fellowships and data products that shifted company strategy and produced quick cash-positive results. His background in cognitive science and applied ML—ranging from dolphin communication research to open-source tooling for deep learning—gives him a rare blend of research rigor and product pragmatism. Known for designing organizational structures and analytics frameworks that improve retention and decision-making, he also has a track record of using ML to improve user acquisition and operational efficiency. Based in Mountain View, he marries quantitative depth with people-focused enablement to turn complex data problems into repeatable business outcomes.
code11 years of coding experience
job6 years of employment as a software developer
bookUniversity of California San Diego
bookB.S. Mathematics, Minor in Computer Science, B.S. Mathematics, Minor in Computer Science at Indiana University Bloomington
languagesEnglish, Swahili
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Stackoverflow

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Github Skills (12)

statistics10
machine-learning10
python10
data-science10
data-analysis10
principal-component-analysis9
scikit-learn9
algorithms7
reinforcement-learning6
cloud-api5
ai3
exploratory-data-analysis3

Programming languages (2)

Objective-CPython

Github contributions (5)

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Contributions:3 reviews, 8 PRs, 6 pushes in 7 months
knowledge-training
jkarnows/rpcaADMM

Aug 2015 - Nov 2016

Robust Principal Component Analysis via ADMM in Python
Contributions:2 commits, 3 pushes, 1 branch in 1 year 3 months
principal-component-analysispython
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