Summary
Felipe Atienza is a Data & AI leader with 15+ years bridging academic research and applied data science, now serving as Principal Manager for Commercial Banking at BBVA after leading analytics teams at Openbank and BBVA. A telecommunication engineer with a PhD in statistical signal processing and machine learning, he combines rigorous mathematical modeling and ML expertise (NLP, graph analysis, optimization) with hands-on production experience in Python, R and cloud ecosystems. He has a strong publication record (H-index ~17) and a track record supervising PhD students and directing R&D projects, which informs his ability to translate novel methods into robust financial products like portfolio optimization and automated document extraction. Known for teaching and building internal training programs, he routinely mentors teams to raise analytical maturity across business units. Based in Madrid, he pairs academic curiosity with commercial impact, often applying signal-processing intuition to unconventional problems in banking analytics.
10 years of coding experience
20 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
Erasmus Grant, Erasmus Grant at University of Reading
Spanish, English, Italian, French