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.
7 years of coding experience
12 years of employment as a software developer
Master of Science - MS, Data Analytics, Master of Science - MS, Data Analytics at Georgia Institute of Technology
Bachelor of Science (B.S.), Mechanical Engineering, Bachelor of Science (B.S.), Mechanical Engineering at California State University-Fullerton
Master's degree, Mechanical Engineering, Master's degree, Mechanical Engineering at California State University, Fullerton
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