István Véber is a seasoned Python Developer and Machine Learning Engineer at ALTEO Group since November 2021, specializing in quantitative algorithms for solar power production forecasts. Previous experience includes working as a Quantitative Developer at Morgan Stanley, focusing on financial modeling for mortgages and machine learning models. As a freelance developer, István researched deep learning concepts and authored related articles. With a background in meteorology, having served as a meteorologist and editor-reporter for RTL Magyarország, as well as a severe weather meteorologist at the Hungarian Meteorological Service, István combines expertise in atmospheric sciences and technology. Educational qualifications include a Master's degree in Atmospheric Sciences and Meteorology from Eötvös Loránd University, alongside various nanodegrees in Data Analysis, Deep Learning, and Deep Reinforcement Learning from Udacity.
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