Enthusiastic Electrical Engineer currently pursuing a master’s degree in Energy Systems, offering 5 years of experience in power systems and transmission networks. Known for critical thinking, problem solving skills, and a collaborative approach. Possesses technical expertise in steady-state and dynamic analysis, with a focus on power systems modeling, planning, and operation. Completed projects involve optimizing medium and high voltage electrical networks for solar and wind farms with +2 GW installed capacities. At the Brazilian Transmission System Operator, actively engaged in energy modeling and energy pricing formation for day-ahead dispatch.Regulatory experience in the electrical sector spans generation and transmission, energy planning, commercialization, and intervention analysis for equipment maintenance in the transmission network. Currently researching the optimal dispatch of Battery Energy Storage System (BESS) during the daily scheduling stage of operation for the master's thesis.Noteworthy Achievements:Conducted energy studies to optimize daily operation schedules, enhancing proficiency in time management, analytical thinking, and presentation skills. The hydrothermal dispatch optimization includes addressing unit commitment constraints and determining energy prices using the cost-based model, DESEM.Contributed to the development of distribution and transmission network projects for renewable energy sources, integrating engineering analyses of energy systems and conducting systemic impact studies. Led dynamic stability studies, short-circuit analysis (fault condition), and power flow analysis for the transmission planning of clean energy projects, encompassing tasks such as sizing conductors and specifying protection measures for electrical equipment.Spearheaded the technical and economic optimization of electrical projects for medium voltage (34.5 kV) and transmission networks (230 kV) for renewable sources (+5 GW) in a global renewable energy generation company.Developed data analysis and visualization solutions using Business Intelligence tools (Power BI). Automated processes using Python and VBA, significantly reducing routine task times.