VENKATESH MANOHAR
( Chewy )
Venkatesh Manohar is a data science and artificial intelligence professional with more than seven years of experience in developing advanced machine learning, predictive analytics, and optimization solutions for large-scale supply chain and fulfillment operations. He holds a Master’s degree in Data Science from Saint Peter’s University and a Master’s degree in Industrial Engineering from Oklahoma State University, providing him with a strong foundation in both analytical modeling and operational optimization.
Mr. Manohar specializes in machine learning, predictive modeling, operations research, mathematical optimization, and supply chain analytics. His expertise includes designing and deploying scalable AI-driven solutions for order fulfillment, forecasting, labor planning, damage reduction, warehouse optimization, and 3D bin-packing applications. He has successfully leveraged technologies such as Python, SQL, PySpark, Databricks, Snowflake, AWS, and advanced optimization techniques to improve operational efficiency, reduce costs, and enhance customer experience.
In addition to his industry accomplishments, Mr. Manohar actively contributes to the global research and technology community. He has served as a keynote speaker, peer reviewer, and session chair at numerous IEEE and international conferences, supporting the dissemination and evaluation of emerging research in artificial intelligence, machine learning, data science, and optimization technologies. His professional achievements reflect a strong commitment to innovation, technical excellence, and advancing data-driven solutions for complex real-world challenges.
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ITI 2026 | NIT Agartala, India | Nov 13-14, 2026 | SCOPUS-indexed