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%.

Python code management to implement business rules in data structures, such as annualized return on funds, international bond growth rate, inflation rate impact on investments, and more. using PYODBC to connect to SQL databases and manipulate data tables with more than 600,000 rows. ebugging and troubleshooting over 10,000 lines of object-oriented Python code. Normalizing data types for more than 150 data tables to ensure accurate merging and analysis operations, with tables of more than 1 million rows

• Teaching in the data scientist academy of F2 Informatica, new participants in data analysis, data science, and Python mainly on the sklearn library, using linear regression, logistic regression, k-means, decision tree, and unsupervised machine learning. • Conducting technical interviews for data science candidates, assessing their knowledge of statistics, machine learning, SQL, and Python for new job applicants within the F2 Informatica