At Carbel Group, I build nationwide SQL, Python, and Power BI models that optimize vehicle KPI monitoring, generate added value, and strengthen financial controls. My redesigned commercial-incentives model generated over R$11 million in bonuses and incentives.
I also developed a logistics dashboard integrating inventory, purchasing alerts, costs, expenses, and stock analysis, reducing replenishment lead time by 30%. Previously at Carbel, I reduced vehicle-sales delinquency by 18% and automated credit monitoring, cutting closing time from five days to one.
At Localiza & CO., I automated financial reporting with Python and SQL, improving EBITDA by 12% through process and cost analysis. Earlier, at Nata House, I built data pipelines that reduced weekly processing time by 76%, analyzed price elasticity across 30+ SKUs, and created Tableau dashboards that helped reverse market-share losses.
I bring a Production Engineering background, five years of financial analysis experience, and ongoing MBA studies in Data Science, AI & Analytics. I work across SQL, Python, Power BI, Tableau, predictive analytics, and BI automation to turn complex data into practical decisions.
