Saket Saurabh is a Senior Operation Research Scientist at Optym since July 2021, where expertise includes pioneering algorithms for railway meet and pass planning that optimize train schedules amidst complex constraints. Prior experience as an Operation Research Scientist involved a focus on maintenance planning, railway scheduling, and optimization modeling. At TCS Research & Innovation from July 2018 to July 2021, Saket worked as a researcher specializing in operations research, optimization modeling, decision science, and various algorithmic approaches including evolutionary and approximation algorithms, as well as applications in artificial intelligence. Saket holds a Master of Technology in Industrial Engineering from the Indian Institute of Technology, Bombay, and a Bachelor of Technology in Mining and Mineral Engineering from the Indian Institute of Technology (Indian School of Mines), Dhanbad.
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