Data Scientist with experience in statistical analysis, machine learning, and integration of large datasets. Skilled in ETL, predictive modeling, hypothesis testing, and development of interactive dashboards to support decision-making. Ph.D. in Environmental Sciences, currently pursuing an MBA in Data Science and Analytics (USP/Esalq) and a Bachelor’s degree in Data Science Technology (UFMS). Strong interest in applying data science for market supervision, anomaly detection, prevention of illicit activities, and ensuring financial operations integrity. Proficient in Python, R, SQL, Power BI, and cloud tools (Azure/AWS, Databricks).