MOST RECENT APPOINTMENT

FAE Business School

Undergraduate Professor — FAE Business School

Feb 2025 – Jul 2026 · Curitiba, PR

Taught undergraduate courses in Data Science for Business and Financial Markets:

  • Big Data for Finance Project — data science and big data techniques applied to financial decision-making.
  • Computational Programming — fundamentals and applications in data analytics and business intelligence.
  • Risk Management — quantitative methods and practical tools for financial risk assessment and mitigation.
  • Econometrics — regression diagnostics, causal inference, panel and time-series methods, and policy/market applications.
  • Project Appraisal and Investment Analysis — DCF modeling, NPV/IRR, sensitivity and scenario analysis, Monte Carlo simulation, and real options.

Visit the class site

TEACHING HISTORY

Earlier appointments

Aug 2024

Postgraduate Professor — Executive MBA

ESIC International – Curitiba, PR

Taught a 12-hour module on Investments in the Executive MBA: evaluation criteria, risk, inflation impact, fiscal environment, and strategic investments.

Jan – Dec 2011

Graduate Professor

FESP/PR – Curitiba, PR

Taught the Project Integration course in the Graduate Program in Project Management, based on PMBOK practices.

Jan 2009 – Dec 2011

Undergraduate Professor

INESUL – Araucária, PR

Taught Financial Mathematics, Financial Management, SPC, Business Informatics, and Industry Performance Indicators. Coordinated Research and Graduate Studies from Jul 2009 to Mar 2010.

Jan 2009 – Dec 2010

Undergraduate Professor

Universidade Positivo – Curitiba, PR

Taught Financial Markets, Monetary and Financial Economics, and Quantitative Methods for Business students.

CERTIFICATIONS & CONTINUED EDUCATION

Always learning

Continuous training in econometrics, finance, and data science from leading institutions and platforms. Highlights:

IBM Data Science Professional Certificate (144h) Econometrics: Methods & Applications — Erasmus Rotterdam (56h) Financial Markets — Yale University (38h) The R Programming Environment — Johns Hopkins (16h) ETL and ELT in Python — DataCamp (2025) ~40 DataCamp / Dataquest courses in R, Python, SQL & ML

See the full list on the CV

OPEN TEACHING MATERIALS

Free tutorials and classes

Public tutorials in econometrics, ML and data science

More than 30 open-access tutorials and applied classes covering econometrics, machine learning, time series forecasting, and data science — written in R and Python and freely available online.

Browse the tutorials