Data Analytics Business Intelligence Machine Learning Engineering

I have a degree in Business Administration (UFC), and I am currently studying Data Science, while continuing to deepen my knowledge in topics involving Data Engineering, Data Science, Machine Learning, and Artificial Intelligence, aiming to build a solid background for a career in Machine Learning Engineering.

I come from a management and business background with hands-on experience focused on processes, and I carry a trait that has become my differentiator: translating business needs into clear analytical deliverables. Today, I work as a Business Intelligence Intern at Scanntech, supporting decisions in pricing, production, and promotion through sell-out analyses, as well as building Power BI dashboards, structuring ETL routines, and automating data quality and cleaning steps with Python (including Streamlit apps). I have also worked at TRT7, creating KPI dashboards (including NPS) and automating routines with Python, VBA, and PowerApps, increasing efficiency and standardizing reporting.

I have practical experience with Python, SQL, Power BI, Looker Studio, Excel, and end-to-end data workflows (problem understanding → prototyping → processing → visualization → documentation and training). In addition, I serve as a Data Analytics teaching assistant at Digital College, which strengthens my communication skills and my ability to teach in a clear, objective way.

I’m passionate about technology and self-development — I especially enjoy studying statistics and Machine Learning, always working to expand my technical toolkit without losing focus on what matters most: driving real business impact through well-structured data and smarter decisions.

👨🏽‍🎓 Viral Analitycs / Data & ML	👨🏽‍💻 Data Analisys