At MRS Logística, I analyze operational and customer data and build the KPIs, dashboards, and analytical datasets used for monitoring, budgeting, S&OP, and decisions. I also develop and maintain Python, PySpark, and SQL pipelines across Databricks and Azure.
In industrial R&D projects for Santo Antônio Energia, EDP, CTG Brasil, and Petrobras, I developed forecasting, predictive-maintenance, and optimization solutions. For Santo Antônio Energia, I developed decision-support software for 50 generating units, combining data validation, predictive maintenance forecasting, and dashboards.
My work spans data engineering, analytics, and operational decision support, with a background in electrical engineering and applied optimization. I’m also a Ph.D. candidate in Electrical Engineering, researching energy systems, optimization, and computational modeling.

