Summary
Raúl Ferrer is a data scientist and tech lead based in Madrid with 11 years of multidisciplinary experience blending data science, AI strategy, and engineering. He has driven end-to-end analytics and Big Data architectures at Vodafone, applied real-time deep learning for financial forecasting at Veleta.AI, and brings hands-on DevOps and field engineering roots from Telefónica and infrastructure projects. Comfortable selecting technologies, building automated data flows, and communicating with stakeholders, he pairs academic rigor as a PhD candidate in Computer Science with practical mastery of cloud and MLOps patterns. Notably, his background in civil engineering and on-site project management gives him a systems-thinking perspective that helps translate complex, real-world constraints into reliable ML solutions.
11 years of coding experience
18 years of employment as a software developer
Master of Engineering (MEng), Civil Engineering, Master of Engineering (MEng), Civil Engineering at Universidade de Trás-os-Montes e Alto Douro
PhD Candidate, Computer Science, PhD Candidate, Computer Science at Uni
PhD Candidate, Computer Science, PhD Candidate, Computer Science at Universidad de Granada
UOC (Universitat Oberta de Catalunya)