Nathan Venos
Data Scientist
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolNathan Venos is a data scientist with eight years of experience applying analytics and machine learning to clean energy, buildings, and public-sector problems. He has led teams and built production data pipelines and Azure-based models at Switch Automation and IBM, and previously deployed interpretable fraud-detection systems for the IRS while refactoring an R codebase into Python. His background in mechanical engineering and hands-on commissioning work gives him a rare blend of domain expertise and data skills for optimizing building operations and energy assets. Nathan combines expertise in time-series forecasting, anomaly detection, and data integration with practical experience in utility billing, solar asset management, and stakeholder-facing reporting. He’s driven measurable outcomes—such as recovering over $1M in utility credits—and designs solutions that balance technical rigor with operational impact.
8 years of coding experience
9 years of employment as a software developer
Immersive Part-Time Data Science Bootcamp Program, Immersive Part-Time Data Science Bootcamp Program at General AssemblyMonte Vista High SchoolImmersive Data Science Bootcamp Program, Immersive Data Science Bootcamp Program at Flatiron SchoolBachelor of Science (B.S.), Mechanical Engineering, Bachelor of Science (B.S.), Mechanical Engineering at Washington University in St. LouisProgramming languages (1)
Github contributions (5)
NathanVenos/applying-gradient-descent-lab-data-science-intro-000
Jul 2019 - Jul 2019
Contributions:256 pushes, 1 branch in 1 day
NathanVenos/dc-ds-08-26-19
Aug 2019 - Oct 2020
Contributions:85 pushes in 1 year 2 months
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