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Lubomir Botev is a Senior Data Scientist at Argus Media, where responsibilities include leading the development of the Argus Data Science Studio, a SaaS ML platform focused on commodity futures and long-term demand modeling. Prior experience at Argus includes developing long-term predictive macro models for fertilizer and agricultural demand, creating a scenario analysis dashboard, and providing statistical and programming training. At National Grid, Lubomir contributed as a Ph.D. researcher, developing a real-time gas transmission statistical process control system that integrates academic research into operational procedures. Educational qualifications include a Ph.D. in Financial Mathematics, a Master’s Degree in Financial Maths, and a Bachelor's Degree in Mathematics/Actuarial Science, all obtained from The University of Manchester.