Data Scientist at Mato Grosso do Sul State Department of Finance, primarily focused on the development of Textual Classification and Natural Language Processing projects, with a particular emphasis on fraud detection and prevention. Additionally, I lead an AI project for real-time monitoring of goods in transit, using information from fiscal documents to predict the route of merchandise and track it through highway cameras, ensuring compliance with the expected route and proactively identifying any anomalies.My academic background includes a Bachelor's degree in Physics and a Master's degree in Materials Science at the Federal University of Mato Grosso do Sul. During my postgraduate studies, I conducted research on graphene oxide-based sensors for liquid sensing. I employed advanced statistical techniques, including Principal Components Analysis (PCA) and Singular Value Decomposition (SVD), to analyze and interpret the data generated by these devices.