Bernease Herman

Seattle, Washington, United States
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Summary

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Rockstar
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Bernease Herman is a data scientist and engineer with 11 years of experience translating academic machine learning research into practical, production-ready solutions across academia, startups, and enterprise. Based in Seattle, she has applied statistical and ML techniques to diverse domains—from public transit and wildfire modeling to SONAR and economic policy—while teaching workshops that bridge theory and practice. Her background includes hands-on software development at Amazon and collaborative research support at the University of Washington eScience Institute and WhyLabs, giving her a rare blend of research intuition and engineering discipline. She is particularly skilled at identifying the "final stretch" innovations and pragmatic hacks that make research deployable, and she approaches strategic career and product decisions with data-driven methods. Outside of work she pursues Olympic weightlifting, rowing, and DIY robotics projects, which inform a practical, experiment-driven mindset.
code10 years of coding experience
job12 years of employment as a software developer
bookBachelor of Science (B.S.) Mathematics Statistics, Bachelor of Science (B.S.) Mathematics Statistics at University of Michigan
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Stackoverflow

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Github Skills (61)

prompt-injection10
data-quality10
python10
data-science10
nlg10
dataops10
machine-learning10
analytics10
logging10
data-pipeline10
mlops9
science9
nlp8
intermediate8
prompt-engineering7

Programming languages (9)

JavaCSSShellC++SCSSJavaScriptHTMLJupyter Notebook

Github contributions (5)

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bernease/bernease.github.io

Feb 2017 - May 2020

Contributions:45 pushes, 1 branch in 3 years 3 months
beautiful-jekylljekylljekyll-themegembeautiful-jekyll-theme
emma-d-cotter/ARTEMIS

Jan 2016 - Mar 2016

Contributions:53 commits, 20 PRs in 1 month
djangoescienceincubatorwinter
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Bernease Herman