Rebekka Moyson
About Rebekka Moyson
Rebekka Moyson is a Data Engineer at ML6 in the Gent Area, Belgium, with a strong academic background in Mathematics. She has held previous positions as a Data Science Consultant at CANGURU Solutions and as a Data Architect at AVEVE.
Work at ML6
Rebekka Moyson has been employed at ML6 as a Data Engineer since 2019. Her role involves working on data-driven projects and solutions in the Gent Area of Belgium. ML6 specializes in artificial intelligence and data science, providing innovative services to various industries. Rebekka's contributions support the company's mission to leverage data for enhanced decision-making and operational efficiency.
Previous Experience in Data Science and Engineering
Prior to her current position, Rebekka Moyson worked at CANGURU Solutions as a Data Science Consultant from 2018 to 2019. In this role, she focused on applying data science techniques to solve complex problems. Before that, she served as a Data Architect at AVEVE from 2016 to 2018, where she was involved in designing and managing data systems. Additionally, she completed a summer internship at Know-Center in 2016, gaining practical experience in data-related projects.
Education and Expertise
Rebekka Moyson completed her Bachelor of Science (B.Sc.) in Mathematics at Ghent University from 2011 to 2016. She further pursued a Master of Science (M.Sc.) in Mathematics with a minor in Applied Mathematics, Economics, and Insurance at the same institution from 2014 to 2016. Earlier, she studied at Sint-Jozefscollege Aalst, focusing on Mathematics and Greek studies from 2005 to 2011. Her educational background provides a strong foundation in mathematical concepts and data analysis.
Background
Rebekka Moyson's educational journey began at Sint-Jozefscollege Aalst, where she studied Mathematics and Greek studies. She then advanced her studies at Ghent University, earning both a Bachelor and a Master of Science in Mathematics. Her career in data engineering and consulting has been marked by roles that leverage her academic training in mathematics and data science.