Summary
Demetrios Papazaharias is a Principal Data Scientist with eight years of experience applying operations research, machine learning, and data engineering to commercial problems at Linde. He leads technical projects that deliver production analytics and decision-support applications for North American business units, translating academic optimization methods into scalable solutions. His background includes a research-focused MS in Industrial Engineering and Ph.D.-level work in operations research, where he developed MIP and heuristic approaches for adversarial decision problems. Earlier roles span predictive analytics for wind turbines and teaching core OR and data courses, reflecting both applied and instructional strengths. Comfortable in C++, Python, Gurobi and cloud environments, he combines rigorous modeling with practical deployment experience. He’s notable for bridging survival-analysis and physical-model insights into data-driven maintenance and risk strategies that reduce operational uncertainty.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Industrial Engineering (Operations Research), Master of Science - MS, Industrial Engineering (Operations Research) at University at Buffalo
Bachelor’s Degree, Applied Physics, Mathematics Minor, 3.58, Bachelor’s Degree, Applied Physics, Mathematics Minor, 3.58 at State University of New York College at Geneseo
Spanish, English