NatalieLow 

San Francisco, California, United States
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Summary

👤
Senior
Natalie Low is an Associate Technical Consultant with over 11 years of experience delivering data-driven engineering solutions across energy, aerospace, and structural domains. She currently leads parametric, Monte Carlo–based cloud workflows to assess energy efficiency measures and code compliance for statewide studies, translating complex data into clear Python-based analyses and visuals. Her background spans machine learning, full-stack web development, and structural design—ranging from the movable trailing edge of the Boeing 787 to probabilistic seismic design tools—demonstrating a rare ability to apply quantitative methods across industries. A Master of Science in Civil Engineering (Structures) from the University of Washington, she combines rigorous technical training with a practical, results-oriented mindset. Based in San Francisco, she leverages cross-disciplinary skills to turn complex requirements into auditable, scalable solutions for energy policy and building performance. Her early roots in psychology with minors in math and chemistry hint at a broad analytical lens and a knack for communicating technical insights to diverse stakeholders.
code11 years of coding experience
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Github Skills (31)

git10
javascript10
github10
patch10
css10
ruby10
subversion10
html10
nodejs10
web-development10
ruby-on-rails10
amazon-web-services9
react9
aws-cloudformation8
amazon7

Programming languages (7)

TypeScriptBicepJavaScriptGoJupyter NotebookRubyRich Text Format

Github contributions (5)

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NatalieLow/community_nosh

Apr 2015 - Jul 2018

Contributions:5 pushes in 3 years 3 months
Contributions:21 pushes, 1 branch in 20 days
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NatalieLow