Summary
Luiz Barros is a data scientist and economist with nine years of experience building AI and NLP solutions for public institutions and fintechs in Ceará, Brazil. He combines an academic background (MSc and BSc in Economics) with a specialist degree in Data Science and hands-on skills in Python, R, Julia and cloud-native tooling (AWS, Docker) to deliver predictive models, scrapers and interactive dashboards. Luiz has applied causal inference methods (DiD, PSM, Synthetic Control) in policy evaluation work at research institutions and the Observatório do Federalismo, while operationalizing ML and open-source NLP stacks (spaCy, NLTK, TextBlob) in production for cost and scalability gains. His roles span research, engineering and teaching—he currently works as a data scientist and is an MBA instructor in Python and databases—bringing both rigorous evaluation methods and production-grade implementations. Notably, he has repeatedly led migrations from proprietary to open-source NLP solutions and built data pipelines that support real-time policy analysis. Practical, policy-oriented and cloud-savvy, Luiz bridges economic research and scalable AI engineering.
9 years of coding experience
1 year of employment as a software developer
Mestrado, Economics, Mestrado, Economics at Universidade Federal do Ceará
Especialização, Ciências de Dados, Especialização, Ciências de Dados at Centro Universitário Farias Brito
Estácio de Sá University