Summary
Michelle Malher is an applied economist and data analyst with 12 years of experience translating public and energy-sector data into actionable projections, dashboards and policy-ready reports. Currently at GESEL-UFRJ she combines econometric time-series expertise with Python, R and PowerBI to build roadmaps and pilot projects for hydrogen in the Pecém complex, while previously automating fiscal indicator pipelines and expenditure forecasting for SEFAZ-RJ. Her academic background (M.Sc. and B.A. in Economics from UFRJ) complements hands-on work in API-driven data engineering and survey-style research grants from FAPERJ and CNPq. Comfortable moving between rigorous research and production analytics, she has a track record of turning messy public datasets into reproducible indicator bases and scenario monitors.
12 years of coding experience
Master's degree, Economics, Master's degree, Economics at Federal University of Rio de Janeiro
High School, High School at Cefet/RJ - Centro Federal de Educação Tecnológica Celso Suckow da Fonseca
Portuguese, English, French