I am a financial sector professional exploring the world of credit, risk, default, and data-driven decision-making. I work at Banco do Brasil as a banck teller and am conducting research on the application of predictive models, quantitative analysis, operations research, and optimization techniques to support performance strategies and portfolio management.
In addition to technical work, I develop educational content for various institutions, combining theory, practice, and technology. I believe in applied learning, in data science as a tool for transformation, and in artificial intelligence as a bridge to more efficient, predictable, and sustainable processes.
Currently, I am deepening my studies in Data Science at UNIVESP and pursuing a postgraduate degree in the field, focusing on machine learning, applied statistics, prescriptive modeling, and automation of analyses in Python.
My purpose is to turn complexity into clarity—whether in consumer financing, in classes, in dashboards, or in the analytical models I develop.