Summary
Adrian Porcel is a data analyst with seven years of experience applying mathematical rigor and machine learning to real-world problems across aerospace, publishing, and licensing domains. He has built deep learning models and predictive analytics capabilities as a data scientist consultant, and now contributes analytical insight at Copyright Clearance Center. Trained in mathematics across universities in Spain and Belgium and with hands-on experience in PBPK modeling, Adrian blends strong quantitative foundations with practical software skills including front-end work noted on GitHub. He thrives in multicultural teams and brings a proactive, flexible approach to problem-solving and product-focused collaboration. Known for translating complex data challenges into actionable business decisions, he enjoys creative solutions informed by travel and diverse cultural exposure.
7 years of coding experience
2 years of employment as a software developer
Mathématiques, Mathématiques, Mathématiques, Mathématiques at Université libre de Bruxelles
Grado en Matemáticas, Matemáticas, 6,4, Grado en Matemáticas, Matemáticas, 6,4 at Universidad de Granada
Máster Ingeniería Matemática, Ingeniería matemática, 7,3, Máster Ingeniería Matemática, Ingeniería matemática, 7,3 at Universidad Complutense de Madrid
Math, Math, Math, Math at Vrije Universiteit Brussel
Spanish, English, French, Italian