Victor Codina is an accomplished data scientist with extensive experience in developing context-aware recommendation systems. Currently serving as a Staff Data Scientist at Adevinta since January 2016, Victor has a strong research background from roles at Eurecat and the Universitat Politècnica de Catalunya, where significant contributions were made in algorithm implementation and evaluations. Academic qualifications include a Ph.D. in Artificial Intelligence and a Master's degree from Universitat Politècnica de Catalunya, complemented by a Bachelor's degree in Computer Engineering from the same institution. Noteworthy achievements include coauthoring a US patent and leading national research projects focused on personalized recommendation systems.
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