I am a Data and AI professional with 3 years of experience in technology, focused on transforming business challenges into automated solutions. My career includes roles at major multinationals such as Scania and Vivo, where I worked at the intersection of data engineering and operational strategy.
Currently at Vivo, I work with the Databricks platform developing governance and data ingestion solutions. I implemented an efficient file transformation methodology that accelerates data readiness for Machine Learning and AI models, fostering a data-driven culture in the company. Previously at Scania, I developed visibility solutions for logistics and finance, creating tools that directly impacted inventory reduction through item criticality analysis.
My main technical skills include SQL, Python, Data Engineering, and Data Viz platforms. I have technical backgrounds in Administration and Logistics, a degree in Automotive Mechanics, and I am currently studying Systems Analysis and Development (graduating 06/2026). I have intermediate English and a constant focus on AI for user experience.
I also participates a lot into IT community events like meet-ups and meetings, mainly about Data and AI solutions.

