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Rafael Van Belle

Machine Learning Engineer @dataroots at dataroots

Rafael Van Belle has extensive work experience in the field of machine learning. Rafael began their career in 2018 as a PHD Researcher at KU Leuven, where they conducted research until February 2023. During this time, they also worked as a PHD Fellow at Fonds Wetenschappelijk Onderzoek - Vlaanderen (FWO) from October 2018 to December 2022. In 2023, Rafael joined dataroots as a Machine Learning Engineer.

Rafael Van Belle has a strong educational background in business and information systems engineering. Rafael began their studies at KU Leuven, where they pursued a Bachelor's degree in Business and Information Systems Engineering from 2013 to 2016. Rafael then continued their education at the same university and obtained a Master's degree in Business and Information Systems Engineering from 2016 to 2018. Following this, Rafael enrolled in KU Leuven's Doctor of Philosophy (PhD) program in Business Economics. Rafael is expected to complete their PhD in 2023.

In addition to their academic pursuits, Rafael has also earned several certifications. In 2017, they completed the "Intro to Python for Data Science" course offered by DataCamp. More recently, in 2023, Rafael obtained multiple certifications, including "Docker for Data Scientists" from LinkedIn, "Big Data with PySpark" from DataCamp, "Microsoft Certified: Azure AI Fundamentals" from Microsoft, and "Microsoft Certified: Azure Fundamentals" from Microsoft. Rafael also became a "Microsoft Certified: Azure Data Scientist Associate" in the same year.

It is worth noting that Rafael participated in a Global Management Summer School program at UCL, although specific details such as the start and end year are unavailable.

Overall, Rafael Van Belle's education and certifications highlight their expertise in business and information systems engineering, as well as their commitment to expanding their knowledge in specialized areas such as data science and cloud computing.

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