Stefano Dantas

Stefano Dantas is a skilled software developer and data scientist with extensive experience in machine learning and natural language processing. Current employment at GSTS - Global Spatial Technology Solutions involves software development and data science roles. Previous positions include machine learning researcher at Escola Nacional de Administração Pública ENAP, graduate research assistant at McGill University, and quantitative research intern at Alpine Macro, focusing on global asset allocation models. Academic qualifications include a Master of Science in Artificial Intelligence from McGill University and a Bachelor's degree in Electrical and Electronic Engineering from Universidade de Brasília. Stefano has contributed to various research projects involving regulatory law classification, FOI request analysis, and the development of communication protocols.