Summary
Javier Ferrer is a community-focused leader and data scientist with a decade of experience at the intersection of AI, data and web3. He has led community strategy for major projects including Billions Network, Privado ID and Polygon ID while co-founding COCOBAY to build vibrant web3 communities. Trained at KTH, EPFL and Universidad Politécnica de Madrid, he brings rigorous data science expertise from roles at Cabify and Amadeus into community and product work. Javier blends hands-on analytics and product instincts with community growth playbooks, enabling technically savvy developer ecosystems to scale. Notably, he pivots smoothly between technical research—published work on recommender systems—and front-line community leadership, making him effective at translating complex tech into engaging narratives for diverse audiences.
10 years of coding experience
5 years of employment as a software developer
Master’s Degree Data Science, Master’s Degree Data Science at KTH Royal Institute of Technology
Exchange Year, Exchange Year at EPFL
Master’s Degree Data Science, Master’s Degree Data Science at Universidad Politécnica de Madrid
Spanish, English