Curriculum Vitae

Download CV (English)

Last updated: April 2026

Education

M.A. in Public Policy

Insper, São Paulo, Brazil

Master's Level Econometrics Course (Visiting Student)

Federal University of Espírito Santo, Vitória, Brazil

B.Sc. in Economics

FUCAPE Business School, Vitória, Brazil

Selected Professional Experience

Founder & Content Creator — Econometria Fácil

Founded and scaled educational platform to 200,000+ followers. Columnist at Folha de São Paulo. Developed and launched "Foundations of Econometrics" course, providing hands-on training in R, Python, and Stata.

Research Assistant — Insper

São Paulo, Brazil

Health-economics research under Dr. Carolina Melo, using causal-inference methods and panel-data econometrics.

Research Assistant — FGV IBRE

Brazilian Institute of Economics, Rio de Janeiro, Brazil

Econometric analysis for DNIT (National Department of Transport Infrastructure) under Dr. Janaina Feijó. Research design, data collection pipelines, and causal inference for infrastructure policy evaluation.

Data Scientist — Senac (National Department)

Rio de Janeiro, Brazil

Labor market analysis integrating multiple national databases (RAIS, CAGED) with real-time job market data. Predictive models to align educational offerings with market demand.

Senior Data Scientist — Sovos Compliance, LLC.

São Paulo, Brazil

Automated tax document processing using NLP and machine learning. ETL pipelines in AWS with CI/CD practices. Legislative document analysis with international teams.

Consultant — Downstream Advisors, Inc.

Dallas, Texas, USA

Market intelligence for oil and gas companies. Automated data collection systems, interactive dashboards, and spatial analyses for logistics and market expansion.

Publications

"From Association to Explanation: Strengthening Research Design and Causal Reasoning in Accounting Scholarship" (with F. Motoki, V. Pinho Neto). Advances in Scientific and Applied Accounting (ASAA), forthcoming.

"Economic conditions and voting behavior" (with F. Barros, G. Correa-da-Silva, V. Pinho Neto). Public Choice, forthcoming, 2025.

"Assessing political bias and value misalignment in generative artificial intelligence" (with F. Motoki, V. Pinho Neto). Journal of Economic Behavior and Organization, 2025.

"Natural disasters and financial technology adoption" (with F. Barros, B. Delalibera, V. Pinho Neto). Economics Letters, 2025.

"Government, taxation and economic complexity" (with F. Barros, L. Brotherhood, F. Gomes). Applied Economics Letters, 2024.

"More human than human: measuring ChatGPT political bias" (with F. Motoki, V. Pinho Neto). Public Choice, 198(1), 3–23, 2024.

"Bonus for firearms seizures and police performance" (with F. Barros, B. Delalibera, V. Pinho Neto). Economics Letters, 217, 110681, 2022.

"Economic complexity and corporate governance" (with F. Barros, L. Brotherhood). Applied Economics Letters, 29(1), 68–71, 2022.

"On the determinants of a stable long-run relationship between energy consumption and economic growth" (with F. Barros). Economics and Policy of Energy and Environment, 2, 147–171, 2021.

"A influência do nível de transparência da gestão pública na quantidade de disclosure informacional dos municípios capixabas" (with P.S.T. da Silva, D. Monte-Mor). Revista Mineira de Contabilidade, 2019.

"Corrupção e valor de mercado: os efeitos da Operação Lava Jato sobre o mercado de ações no Brasil" (with E.C.C. de Araújo, D.S. Monte-Mor, R.D. Correia). Revista Catarinense da Ciência Contábil, 2018.

"O que se tem pesquisado sobre Sustentabilidade Empresarial e sua Evidenciação?" (with V. Nossa, S.N. Nossa). Revista de Educação e Pesquisa em Contabilidade, 2017.

"Relação entre desigualdade de renda e crescimento econômico nos municípios brasileiros: o que mudou na década 2000–2010?" (with R.T. Rodrigues, D.S. Monte-Mor, B. Funchal). Contextus, 2016.

Technical Expertise

Econometric Methods: Causal inference (DiD, RDD, IV), Panel data analysis, Time series, Quasi-experimental design

Programming & Tools: Python (Scikit-learn, Pandas, NLTK), R (tidyverse, fixest), SQL, Stata

Machine Learning: Natural Language Processing, Supervised Learning, Deep Learning, Web Scraping

Contact

victorrsr@al.insper.edu.br
github.com/vr-rodrigues
linkedin.com/in/vr-rodrigues
@econometriafacil