Mohammed Al-hakim
Fundamental Modelling - Global Power Lead at bp
England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMohammed Al-hakim is a data scientist and modelling lead with 10 years’ experience building production-ready ML and forecasting solutions for commodity trading at bp, currently heading Fundamental Modelling for Global Power. He blends a strong engineering foundation (MSc Computer Science, BEng Mechanical) with hands-on skills in Python, cloud data pipelines, geospatial analytics and trading-floor product ownership, having moved core workflows to AWS and scaled daily automated models. Comfortable liaising directly with traders, he has delivered vessel-tracking, supply-demand forecasting and cognitive solutions that turn big data into tradeable insight. Outside work he pursues global travel and science fiction, a curiosity that mirrors his appetite for experimenting with new data providers and tooling to solve market problems.
10 years of coding experience
3 years of employment as a software developer
Mechanical Engineering (BEng) Mechanical Engineering, Mechanical Engineering (BEng) Mechanical Engineering at University of NottinghamMaster of Science (MSc) Computer Science, Master of Science (MSc) Computer Science at Imperial College London
English, ArabicGithub contributions (4)
MoPractise/msc-thesis
Jun 2016 - Jul 2016
Contributions:14 pushes, 1 branch in 1 day
MoPractise/Imperial-College
Jan 2016 - Jan 2016
Contributions:1 push, 1 branch in 1 day
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