
Rafael is a Telecommunications Engineer from the Polytechnic University of Valencia, with background in Machine Learning research and more than 8 years experience in Data Science. His professional career started as a researcher in deep learning at Carlos III University. Before that, he participated in research projects for the European Space Agency. Then he worked as a data scientist consultant, mostly in the media industry. At BBVA AI Factory, he has been involved in many projects applied to marketing and digital sales and he has been developing next best offer algorithms to recommend financial products and banking experiences through digital channels and branch offices. Now, Rafael is leading the development of an in-house python library, called Mercury, with re-usable code to create new analytical models and share knowledge within the bank.
Articles
30/01/2020
What we saw in Graph Analytics in 2019
24/05/2019
Accelerating Data Science Workflows