Andrew Bartels

Senior Data Scientist

Costa Mesa, California, United States
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Summary

👤
Senior
🎓
Top School
Andrew Bartels is a Senior Data Scientist and mechanical engineer with seven years of cross-domain experience building production ML systems, data pipelines, and scientific simulations for aerospace, logistics, and environmental applications. He has a track record of turning research into operational services—founding a data-driven event framework and microservice alerting stack at Panasonic Avionics and delivering production-ready API-driven products and ETL infrastructure for Geometric Data Analytics and DARPA-scale ocean sensing at Leidos. Comfortable across AWS, EMR/SageMaker, FAISS/LLM embeddings, HPC Fortran, and containerized CI/CD, he blends engineering rigor with practical data science to solve business-critical anomalies and pricing/recommendation problems. Based in Costa Mesa, he pairs advanced degrees from Georgia Tech and Cal State Fullerton with hands-on mentoring and project leadership, and he often bridges signal-processing and fluid-mechanics insights into scalable ML solutions. A less obvious strength is his consistent focus on shipping observable, API-first systems that shift organizations toward data-driven decision making.
code7 years of coding experience
job12 years of employment as a software developer
bookMaster of Science - MS, Data Analytics, Master of Science - MS, Data Analytics at Georgia Institute of Technology
bookBachelor of Science (B.S.), Mechanical Engineering, Bachelor of Science (B.S.), Mechanical Engineering at California State University-Fullerton
bookMaster's degree, Mechanical Engineering, Master's degree, Mechanical Engineering at California State University, Fullerton
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Github Skills (28)

solidworks9
simulator7
ros7
python7
computer-vision6
autonomous-driving6
kedro6
unreal-engine-46
api-client6
deep-reinforcement-learning5
ai5
api5
deep-learning5
machine-learning5
artificial-intelligence5

Programming languages (2)

C++Python

Github contributions (5)

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andrewbartels1/Aero_ML

Mar 2019 - Apr 2022

Aeroacoustic Machine Learning Repo
Contributions:36 commits, 2 PRs, 45 pushes in 3 years 1 month
machine-learning
Contributions:17 pushes, 1 branch in 8 months
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