Navid Rashedi is a Senior Data Scientist at FM, where they build large-scale decision systems that integrate machine learning and optimization. From 2017 to 2022, Navid served as a Research Assistant at the Thayer School of Engineering at Dartmouth, focusing on optimization for airline operations and healthcare-related machine learning applications. Prior to that, they worked as a Control Engineer at Energy Kavir Paya from 2014 to 2016, developing power dynamic control systems. Navid holds a Master’s Degree and a Bachelor of Science in Electrical and Electronics Engineering, both from the University of Tehran, and an Operations Research degree from Thayer School of Engineering.
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