Carlos Kobashikawa

Carlos Kobashikawa is a highly experienced Principal Data Science Engineer at Rakuten, where since August 2013, significant contributions include optimizing advertising services and leading technical collaboration across global teams. Previously, as a Lead Data Science Engineer, Carlos designed and deployed successful recommendation algorithms for Japan Ichiba, enhancing purchase rates by 50%. Earlier roles at Yahoo! JAPAN and Cirius Technologies involved innovating machine learning algorithms, improving click-through rates, and facilitating location-based mobile advertising solutions. Carlos holds a PhD and a Master’s degree in Computational Intelligence from the Tokyo Institute of Technology and an engineering degree from the National University of Engineering.