Ferran Guitart is a data scientist based in Barcelona with a decade of professional experience bridging mathematics, computer science and applied research. He holds dual bachelor’s degrees in Mathematics and Computer Science and is completing a master’s in Advanced Mathematics and Mathematical Engineering, combining strong theoretical foundations with practical ML skills. Ferran has applied deep learning to medical imaging for his undergraduate thesis and analyzed cancer mutation data in research internships, then transitioned to industry roles at ICCUB and AILY LABS where he progressed from intern to data scientist. He maintains an active code portfolio (mostly on GitLab) that reflects a hands-on, research-informed engineering approach to reproducible analyses and model development. Colleagues know him for turning complex mathematical ideas into production-ready pipelines and for thriving at the intersection of academic rigor and startup velocity.
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