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Mohamed Leila

Operations Research - Data Science - Python

Mohamed Leila is an Operations Research Architect at Lean Systems, specializing in designing and implementing scheduling algorithms to optimize fleet operations through efficient vehicle routes and crew schedules. With a Ph.D. in Renewable Resources from McGill University, his research focuses on modeling and optimizing biofuel supply chains in the United States for enhanced economic performance and reduced environmental impact. He also holds an MSc from King's College London in Environmental Modelling and a BSc in Physics from the American University in Cairo.

His competencies include expertise in vehicle-routing and crew scheduling, Mathematical Programming, Deterministic, Stochastic, and MultiObjective Supply Chain Optimization, Life Cycle Analysis, and proficiency in tools such as Python, R, Javascript, IBM OPL, CPLEX, and ArcGIS. Mohamed has a diverse academic background and hands-on experience in various fields related to operations research, data science, and environmental modeling.

Throughout his career, Mohamed has held roles such as Lead at Ai Trust And Governance Lab at Element Ai, Staff Applied Research Scientist at Servicenow, Applied Research Scientist at Element Ai, Specialist Data Scientist at Rio Tinto, Data Scientist at Rio Tinto, Data Engineer at Wavo.Me, and Operations Research Architect at Lean Systems. He has been associated with notable organizations and has contributed extensively to the fields of artificial intelligence, research, and tech innovation.

Highlights

Jan 1 · umanskyteam.com
Meet Leila Mohmed - Your Local Real Estate Agent
Artificial Intelligence Applications for Industry 4.0: A Literature-Based ...
Jun 17 · nation.africa
Leila Mohammed's career in journalism and her love for Mogadishu
Oct 8 · en.wikipedia.org
Mohamed Mohsen Leila - Wikipedia
May 14 · sheleadsafrica.org
Leila Mohamed: Nurturing Africa's brilliant young female leaders ...

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Mohamed Leila
Mohamed Leila, photo 1
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Location

Montreal, Canada Area