Omid Hashemi
Operations Researcher | Transit Optimization | Data Scientist @WMATA
- Role
- Data Scientist at Washington Metropolitan Area Transit Authority (WMATA)
- Location
- Washington, DC, US
- LinkedIn followers
- 500 followers
About Omid Hashemi
Educational BackgroundAs a dedicated PhD candidate at George Mason University, specializing in Systems Engineering and Operations Research, I am deeply committed to driving innovation and solving intricate challenges within the realms of transportation, logistics, supply chain, and waste management. Equipped with a Master\'s and Bachelor\'s degree in Industrial Engineering, my academic foundation solidifies my expertise in optimizing complex systems. Professional ExperienceDuring my tenure as an Operations Research Intern at Amtrak, my focus included refurbishing crew scheduling models for On Board Service (OBS) and Train and Engineer (T&E) teams using Python. I also developed a scheduling optimization model for En-Route Cleaner (ERC) crews, aligning seamlessly with transportation system policies to elevate customer satisfaction. Passion for InnovationMy professional journey is fueled by a passion for finding cutting-edge solutions that enhance the performance and sustainability of real-world systems. I bring a unique blend of analytical prowess, strategic thinking, and a commitment to continuous learning to every project. Values and PerspectiveI am not just a researcher; I am a collaborator who values diversity and believes in the power of collective intelligence. Eager to bridge academia and industry, I am poised to contribute my rich experiences and perspectives to the professional landscape. Seeking OpportunitiesAs I embark on the next chapter of my career, I am actively seeking opportunities to leverage my skills and knowledge. If you are looking for a dynamic professional with a proven track record in optimizing real-world systems, let\'s connect and explore possibilities together!
Experience
Data Scientist
Washington Metropolitan Area Transit Authority (WMATA)
May 2025 — Present · Washington, DC, US
Automated trackwork log loading and cleanup,created quality checks (missing/duplicate/out-of-range values) and KPI summaries to highlight unusual entries.Studied whether conditions relate to train overruns; created simple threshold flags and tested interpretable baseline models (linear regression, small decision tree) suited for rare events.Built a computer vision workflow that counts people going through fare gates using object detection/tracking tools.
Education
George Mason University
Doctor of Philosophy , Systems Engineering and Operations Research
Iran University of Science and Technology
Master of Science - MS, Industrial Engineering
Iran University of Science and Technology
Bachelor of Science - BS, Industrial Engineering
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