I hold a Master's degree in Quantum Information and an M.B.A. in Data Science from the University of São Paulo, with one year of exchange studies at Uppsala University in Sweden. My academic journey included projects in theoretical physics, such as quantum information, quantum computing, and quantum cryptography, as well as initiatives in data science, focused on predictive modeling and data engineering, building a solid foundation in analytical and computational techniques.Professionally, I have developed predictive modeling projects applying advanced Machine Learning (ML) techniques, such as XGBoost, to analyze large volumes of data and provide strategic insights for decision-making. I also have experience with MLOps automation tools, such as MLFlow, AWS SageMaker, managing the full lifecycle of ML models. My expertise ranges from model design and training to deployment and monitoring in production environments, always ensuring scalability and operational efficiency.