Lucas Aragão

Undergraduate student in Statistics at the Federal Fluminense University (UFF) and Researcher at FGV Energia, with 3 years of experience in Data Science and currently deepening his studies in Statistics applied to the energy sector. Works on data architecture, dashboard development, and interactive webmaps, in addition to supporting R&D projects in energy planning. Skilled in Python, R, SQL, Power BI, ArcGIS, and QGIS, with hands-on experience in hydroelectric power scheduling models such as NEWAVE, DECOMP, and DESSEM. Interested in applying statistical methods to support evidence-based decision-making in the electric power sector.