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Guillaume Bosc is an accomplished Data Scientist with extensive experience in data mining and algorithm development. Since November 2017, Guillaume has been working at Infologic, focusing on research and development of data mining tools to enhance functionalities of the ERP Copilote. Prior to this role, Guillaume completed a PhD at LIRIS, where the research concentrated on the formalization and implementation of massive data mining heuristic methods. Additional roles at LIRIS included developing a platform for centralized algorithm contributions, exploring symbolic approaches for odor quality prediction in collaboration with the Centre de Recherche en Neurosciences de Lyon, and designing tools for sequential pattern mining. Earlier work experiences include a role at Groupe Casino, where web development for internal site management was undertaken. Academic qualifications include a Doctorate and Master of Engineering in Computer Science from INSA Lyon, and a Baccalauréat in Mathematics.