Mohamed Dyab is a Senior Data Engineer with extensive experience in data infrastructure, analysis, and machine learning across various companies. Currently at Air Liquide since June 2023, Mohamed leads the industrialization of a custom data quality infrastructure on AWS and has proposed alternative data models for business units. Previous roles include significant contributions at Air Liquide in data quality innovations, Disneyland Paris in cloud data integration, and ManoMano in optimizing data ingestion processes. Mohamed's earlier positions involved impactful work at LegalPlace, where research in NLP and Knowledge Graphs resulted in major tax credits, and internships at Inria and LIMSI focusing on machine learning and video analysis. Mohamed holds advanced degrees in Informatics from the National School of Computer Science and Applied Mathematics of Grenoble and Université Grenoble Alpes, complemented by a Bachelor's degree from Alexandria University.
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