Daniel Ferreira

Works at the intersection of technology, data science, and public policy, with a focus on mathematical and statistical modeling, input-output analysis, econometrics, and machine learning.

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Academic Background

• PhD in Economics – Institute of Economics / UFRJ

• Master in Energy Planning – COPPE / UFRJ

• Bachelor of Economics – UFRJ

 

Professional Experience

• Development of statistical and mathematical models to evaluate public policies in the energy sector.

• Applications of econometrics, machine learning, and input-output methods to projects in the power sector, renewable energy, regulation, and technology diffusion.

• Data science and automation using multiple programming languages (Python, MATLAB, R, SQL, VBA) and analytics tools (Power BI, SPSS, Stata, EViews).

• Development of web solutions and API integrations for analytical and operational applications.

• Participation in multidisciplinary projects on energy planning, the energy transition, and regulatory modernization.

• Author of studies and articles on the impact modeling and technology diffusion in the energy sector.