Data Scientist and Machine Learning Engineer with over 5 years of professional experience across various sectors, including finance, retail, and healthcare, as well as an additional 6 years of academic experience in the same subjects. I have extensive experience in designing and implementing machine learning models to solve complex problems, such as credit risk modeling, customer behavior analysis, and personalized recommendation systems. I hold a PhD in Civil Engineering, with an emphasis on Scientific Machine Learning, where I explored the development of state-of-the-art models for complex systems, reflected in publications in high-impact scientific journals.Currently, I am a postdoctoral researcher working on the development of Neural Operators for multiphysics modeling in reservoir engineering. I also have experience leading multidisciplinary teams, ensuring the application of best engineering practices, and delivering data-driven solutions across various sectors. My main technical skills include Python, SQL, PyTorch, TensorFlow, Sklearn, JAX, Databricks, AWS, and agile methodologies.As a Python instructor at a U.S.-based bootcamp, I mentored students in fundamental programming concepts and data structures, preparing them for real-world challenges. Fluent in Portuguese, English, and Italian, I have a profile focused on problem-solving, innovation, and continuous learning.Keywords: Machine Learning, Data Science, Data Engineering, Python, Deep Learning, PyTorch, TensorFlow, JAX, SQL, Databricks, AWS, Statistical Modeling, Data Analysis, Technical Leadership, Neural Operators, Agile, Scientific Machine Learning, CFD.