murilo xavier

• Using multi agent frame work langgraph to analyze texts and documents from the pharmaceutical world and facilitate the work of digital processes to deal with medical, legal and regulatory (MLR) reviews and approvals. • Optimizing the scheduling of visits for fibre optic installation technicians, with a focus on reducing the variation in customer distribution within a single day. Using a priority grouping and reordering algorithm, the average variation was reduced by 45%.

Managed the relationship with BlackRock at Intesa San Paolo Bank. Developed Python code to apply complex business rules and ensure data integrity across large dataframes. Wrote optimized SQL queries via PYODBC to extract and process dataframes with over 600,000 rows for flow models. Normalized data types for more than 150 dataframes to guarantee correct merge and analysis operations. Created automation tools to streamline the comparison of large dataframes, significantly reducing manual effort.