Pablo Dávalos

Pablo Dávalos is a highly experienced data science professional with a strong academic background in mathematics. Currently serving as VP of Data Science at Kueski since July 2015, Pablo has held various leadership roles, including Sr. Director and Director of Data Science, and has developed machine learning credit risk models utilized in decision-making for credit applications. Prior experience includes a position as Research Professor at ITESO Universidad Jesuita de Guadalajara, recognized as a member of the National System of Researchers, and a postdoctoral researcher at Universidade de São Paulo, where research focused on the dynamics of rotation sets of torus homeomorphisms. Pablo holds a Ph.D. in Mathematics from IMPA, a Master's degree from CIMAT, and a Bachelor's degree from Universidad de Guadalajara.