Gurjeet Singh received his B.Tech. degree in Production and Industrial Engineering from the Indian Institute of Technology (IIT) Delhi, India, in 2007, and completed his Master’s degree in Operational Research from the University of Delhi, India, in 2022. He has research experience in Supply Chain Management and Operations Research from the University of Bergamo, Italy. His research interests include Operations Research, Supply Chain Optimization, Simulation Modeling, Data Analytics, Industrial Engineering, Machine Learning Applications, and Decision Sciences. He has worked on projects related to facility layout optimization, material flow analysis, and reducing the bullwhip effect in supply chains. In addition to his research background, he has more than 12 years of teaching experience in mathematics and quantitative aptitude for competitive examinations. He is also interested in data-driven optimization methods, renewable energy forecasting, and AI-based analytical systems.