Daniel Florencio

Daniel Florencio is a seasoned data professional with a diverse background in data analysis and data science. Experience includes serving as a Data Analyst at Caixa Economica Federal, focusing on procurement processes and fraud prevention, followed by a role as a Data Scientist at the Brazilian Federal Police, where Daniel developed a Retrieval-Augmented Generation system to enhance employee support and insights. Currently employed as a Senior Data Scientist at T-Mobile, Daniel continues to advance expertise in data science. Educational credentials include a Master's degree in Information and Data Science from the University of California, Berkeley, an MBA in Real Estate Business from Fundação Getulio Vargas, a course in Machine Learning from the University of Toronto, and a Bachelor's degree in Civil Engineering from Universidade de Brasília.