Said Zeidan is a Senior Trading Data Scientist at Ørsted, where they develop price and volume forecasting models for the Nordic markets using fundamental, statistical, and machine learning methods. Previously, they served as a Data Scientist at Ørsted, focusing on market dynamics and advanced forecasting models, and gained experience as a Teaching Assistant at DTU, contributing to courses in Stochastic Simulations and Mathematics. Said holds a Master's degree in Mathematical Modelling & Computation and a Bachelor's degree in Mathematics & Technology, both from the Technical University of Denmark. Their expertise includes coding in R and Python, as well as a strong foundation in multidisciplinary engineering and high-performance computing.
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