Bachelor of Science in Information Engineering– Pacific University
Daniel has more than three years of professional experience in areas of the economy, finance, human resources, information technology and marketing applying the field of data science aligning it to the company’s core business. Before joining the Kin Analytics team, Daniel worked for one year in the Data Science area in Prestamype Fintech. His area of focus was on implementing machine learning algorithms and advanced analytics for business solutions. In addition, he also gained experience with these types of projects by participating in competitions, in which he was finalist, as in La Positiva’s hackathon and Telefonica’s Datathon, and other in which he won second place, as in Data Science Cencosud/IBM Challenge.
As an Analytics Consultant and Data Scientist for Kin Analytics, Daniel is responsible for the development of models using machine learning algorithms and data mining techniques.
Daniel is fluent in English, Spanish and French.