Fallou BAH is a skilled Data Engineer with experience in various sectors, currently working at relevanC since January 2022, focusing on projects analyzing the impact of promotions in retail and advertising revenues. Prior experience includes a tenure at the Ministère de l'Agriculture et de l'Alimentation, where efforts were made to modernize survey databases through innovative solutions, and roles at Berger-Levrault and Airbus, involving data science projects utilizing machine learning and natural language processing. Fallou BAH has a solid academic background, holding multiple degrees in Statistics and Decision-Making Informatics from Université Paul Sabatier Toulouse III, culminating in a Master 2 in Statistics and Big Data. Proficiency in various technical environments and tools, including Python, deep learning frameworks, and data visualization techniques, complements the extensive experience.
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