Summary
Nathaniel Price is a Lead Data Scientist with nine years of experience building scalable ML and cloud solutions for large-scale utility and engineering problems. He holds a Ph.D. in Mechanical Engineering from a joint UF–École des Mines program and spent 18 months at ONERA, where he developed risk-aware design optimization methods for aerospace systems. At ICF he architected Azure-based infrastructure to analyze billions of smart meter records and moved prototypes like energy disaggregation and EV detection into production. Comfortable across R, Python, SQL, Matlab, and C++, he blends high-performance scientific computing with practical MLOps to deliver repeatable, cost-effective analytics. He also has a track record of open-source and academic contributions—developing web-based analysis tools and co-authoring publications—that bridge research rigor and operational impact.
9 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Mécanique et ingénierie, Doctor of Philosophy (Ph.D.) Mécanique et ingénierie at École des Mines de Saint-Étienne
Doctor of Philosophy (Ph.D.) Mechanical Engineering, Doctor of Philosophy (Ph.D.) Mechanical Engineering at University of Florida
English, French