Zach Bruick
Director Of Catastrophic Risk Strategy
Fort Collins, Colorado, United States
Summary
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Rockstar🎓
Top SchoolZach Bruick is a data-driven leader specializing in translating atmospheric science into commercial impact, currently directing catastrophic risk strategy and GTM analytics at Pano AI, a leader in wildfire detection. With nine years of experience across applied climate analytics and consulting, he quantifies ROI and builds business cases that accelerate customer adoption and new market entry. Previously at McKinsey he led small expert teams advising governments and financial clients on physical climate risk, and as a founding data scientist helped stand up the firm’s Climate Analytics practice. He pairs an MS in Atmospheric Science with hands-on Python development—contributing bug fixes and documentation to the widely used MetPy project—bridging domain science, open-source tools, and product analytics. Based in Fort Collins, he combines field-research instincts from storm and convection studies with enterprise GTM rigor to make complex hazard data actionable. Colleagues rely on him to turn nuanced meteorological modeling into concise commercial decisions.
8 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Atmospheric Sciences and Meteorology, Master of Science - MS, Atmospheric Sciences and Meteorology at Colorado State UniversityBachelor of Science (B.S.), Atmospheric Sciences and Meteorology, Bachelor of Science (B.S.), Atmospheric Sciences and Meteorology at Valparaiso University
Stackoverflow
316reputation
14kreached
9answers
2questions
Github Skills (10)
atmosphere10
thermodynamics10
science10
python10
scientific-computing10
documentation10
units-of-measurement9
jupyter-notebook6
netcdf6
amazon-s36
Programming languages (3)
Github contributions (5)
Unidata/MetPy
Jun 2019 - Nov 2019
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:134 commits, 69 PRs, 15 pushes in 5 months
Contributions summary:Zach significantly improved the documentation within the `metpy/calc` module, focusing on clarifying the usage of pressure arrays and other thermodynamic calculations. They addressed multiple bugs and improved the functionality of the functions for calculating level of free convection, equilibrium level, and convective available potential energy. Further, the user corrected the code to support the mixed layer CAPE calculations, and is seen to have experience in unit management.
hodographmeteorologypythoncalculationsatmospheric-science
zbruick/MetPy
Jun 2019 - Nov 2019
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
Contributions:262 pushes, 53 branches in 5 months
meteorologypythoncalculationsvisualizingweather-data
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