Bio

I am a fast and motivated learner, goal-oriented, capable of critical analysis, reasoning, logical and mathematical thinking. 25+ years experience in developing solutions, programs and models using analytical skills across different industries: software development, government, fintech, retail and mobility. 8+ years experience with data processing, data analysis, machine learning and statistical tools: Python (numpy, scipy, pandas, scikit-learn), Spark, R Studio, MatLab and Statistica. Experience in stochastic simulation and agent-based modeling. Experienced programmer in Python, SQL, and R. Strong programming skills and eagerness to learn different languages, frameworks and tools. Solid background in statistics, economics, capital markets, debt management and financial instruments. I hold the following degrees: - Specialization in Data Science (2015) from The Johns Hopkins University - Master's degree candidate in Economics (2015, expected) from Universidade Federal do Rio Grande do Sul (UFRGS) - B.Sc. degree in Economics (2014) from Universidade Federal do Rio Grande do Sul (UFRGS) - Specialization in Capital Markets (2009) from Fundação Getúlio Vargas (FGV) - B.Sc. degree in Computer Science (1999) from Universidade Federal do Rio Grande do Sul (UFRGS) I also have won four consecutive awards (2012, 2013, 2014, 2015) at the prestigious Prêmio do Tesouro Nacional (National Treasury Award) concerning state debt sustainability, budgetary rent-seeking estimates, public sector efficiency in providing health and education and federal government expenditures audit using Benford's Law.