Dr. Debdatta Sinha Roy, Oracle Retail Science R&D, United States
Debdatta Sinha Roy is a Principal Research Scientist in Operations Research and Data Science at Oracle, based in Burlington, Massachusetts, USA. He specializes in optimization, machine learning, and data-driven decision-making under uncertainty, with practical applications across retail, supply chain, logistics, and service operations. He holds a Ph.D. in Operations Management from the University of Maryland’s Robert H. Smith School of Business, where he received the Best Dissertation Proposal Award for his work on data-driven optimization in logistics. Debdatta earned his dual B.S.-M.S. degree in Mathematics from the Indian Institute of Science Education and Research, Mohali, where he was awarded the prestigious President of India Gold Medal. With professional experience at Oracle and Staples, his work has contributed to cutting-edge retail forecasting systems, fulfillment optimization, and intelligent logistics networks. He has also published impactful research on routing problems, stochastic modeling, and social choice theory, and maintains an academic lineage that traces back to George Dantzig.
Professional Profile:
ORCID
Summary of Suitability
Dr. Debdatta Sinha Roy is a highly accomplished researcher whose work lies at the intersection of operations research, optimization, and machine learning, with transformative applications in retail, supply chain logistics, and service operations. His research combines theoretical rigor with real-world impact, making him exceptionally suitable for recognition with the Best Researcher Award.
🎓 Education
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Ph.D. in Operations Management/Management Science
📍 University of Maryland, College Park, USA (Aug 2014 – Aug 2019)
🏆 Best Dissertation Proposal Award in Management Science
📘 Dissertation: Data-Driven Optimization and Statistical Modeling to Improve Decision Making in Logistics
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B.S.-M.S. Dual Degree in Mathematics
📍 Indian Institute of Science Education and Research, Mohali, India (Aug 2009 – May 2014)
🥇 President of India Gold Medal
📘 Thesis: Social Choice Theory and Max-Plus Algebra
💼 Work Experience
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Oracle, Inc., Burlington, MA, USA
🧪 Principal Research Scientist (Sep 2024 – Present)
🧪 Senior Research Scientist (Jul 2021 – Aug 2024)
🔧 Projects: AI Foundation (Oracle Retail), recommendation systems, fulfillment forecasting, item classification, and forecasting pipelines.
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Staples, Inc., Framingham, MA, USA
🔬 Research Scientist – Operations Research and Data Science (Sep 2019 – Jul 2021)
📦 Projects: Carton demand forecasting, on-demand routing, dynamic UPS/FedEx optimization, middle-mile logistics.
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University of Maryland, College Park, MD, USA
🎓 Graduate Research Fellow (Aug 2014 – Aug 2019)
🔍 Focus: Optimization, ML, routing problems, Bayesian models, and graph-based heuristics.
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Indian Statistical Institute, New Delhi, India
👨🏫 Visiting Research Student – Economics & Planning Unit (May 2012 – May 2014)
📊 Focus: Social Choice Theory, Mathematical Economics.
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Indian Institute of Science, Bangalore, India
🧠 Summer Research Intern – Graph Theory and Combinatorics (May 2011 – Jul 2011)
🏅 Achievements, Awards & Honors
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🏆 Best Dissertation Proposal Award, University of Maryland
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🥇 President of India Gold Medal, IISER Mohali
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🧬 Academic Lineage: George Dantzig → Thomas Magnanti → Bruce Golden → Debdatta Sinha Roy
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🎯 Led high-impact industrial projects at Oracle and Staples integrating optimization + ML in real-world retail and logistics
Publication Top Notes:
Using regression models to understand the impact of route-length variability in practical vehicle routing
Data-driven optimization and statistical modeling to improve meter reading for utility companies
Modeling and Solving the Intersection Inspection Rural Postman Problem
Estimating the Tour Length for the Close Enough Traveling Salesman Problem
DATA-DRIVEN OPTIMIZATION AND STATISTICAL MODELING TO IMPROVE DECISION MAKING IN LOGISTICS