Summary
Daniel Chada is a Senior Lead Data Engineer based in Lisbon with 11 years of experience blending software engineering, data science, and academic research to deliver production-ready ML and NLP solutions. He has led data and innovation teams across gaming and retail (Miniclip, Gazeus Games, Reserva) and built data strategy and engineering foundations as Head of Data and CIO. Trained as a computational cognitive scientist with a PhD-level background, he applies connectionist models, text mining, and probabilistic modeling to real-world products and large-scale analytics. Daniel combines hands-on engineering with grant-winning research experience and a history of teaching—bringing a rare mix of rigorous academic methods and pragmatic delivery to data-driven decision making.
10 years of coding experience
11 years of employment as a software developer
University of California, Berkeley
Doctor of Philosophy (Ph.D.) Behavioral and Decision Sciences, Doctor of Philosophy (Ph.D.) Behavioral and Decision Sciences at FGV - Fundação Getulio Vargas
Pontifical Catholic University of Rio de Janeiro
Computational Cognitive Science, Computational Cognitive Science at UC Berkeley