Andrew Carl

Senior Transportation Business Analyst

New York, New York, United States
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Summary

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Senior
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Top School
Andrew Carl is a senior machine learning engineer and data scientist with a rare blend of aerospace mechanical engineering and 38+ years of multidisciplinary systems experience, and eight years focused on applied ML and data science. He builds production-grade, distributed Python systems—most notably the Ray-powered 2StrikeTrader backtester that processed over a billion simulated trades and leveraged 1.4 trillion ticks—and publishes original research in "TransDimensional Machine Learning" using hybrid NEAT reinforcement approaches with UMAP/HDBSCAN embeddings. His career spans aerospace giants and startups, delivering thermal/structural toolchains that convert NASTRAN models into system-level thermal analyses and inventing cost-saving utilities like BDFUTIL/BDFUTIL2 and MODEL BUILDER. He combines hands-on embedded firmware, computer vision and OCR pipelines for massive image datasets with large-scale time-series clustering and custom tooling such as GITHUB2VEC and the GitHub AI "Brain-of-Brains" search utility. Based in Las Vegas, Andrew is comfortable bridging deep physics-based simulation and cutting-edge ML, and often applies evolutionary optimization to control architecture and hyperparameters in both embedded and cloud-distributed environments.
code8 years of coding experience
job4 years of employment as a software developer
bookCertificate of Completion, Data Science Immersive, Certificate of Completion, Data Science Immersive at General Assembly
bookCertificate of Completion, IBM Data Science Professional, Certificate of Completion, IBM Data Science Professional at Coursera
bookBachelor's of Science, Natural Resource Management, Minor - Applied Statistics, Bachelor's of Science, Natural Resource Management, Minor - Applied Statistics at State University of New York College of Environmental Sciences and Forestry
languagesEnglish, Spanish
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Github Skills (2)

python5
machine-learning4

Programming languages (1)

Jupyter Notebook

Github contributions (5)

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Predicting functionality of groundwater pumps throughout Tanzania.
Contributions:90 commits, 53 PRs, 58 pushes in 1 year 11 months
tanzaniapythonmachine-learninggroundwater
Contributions:36 commits, 29 pushes, 1 branch in 3 months
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