During this period I had the responsibility to:• Ensure data governance of the logistics analytics team assets• Develop ETL/ELT pipelines• Develop new features and debugging for a python library, as the ML process was based on the Kedro framework• Create new data models to the DS/ML algorithmSome of the key results with my direct influence were:• Participated in the Data Quality committee, focusing on the strategic quality of data matter and setting goals for the entire analytics team. I was directly responsible for developing the reliability KPI, and all annual goals were met.• Achieved almost 60% reduction in infrastructure costs involving Databricks Clusters/Azure DataFactory pipelines of the DS/ML project• Improved the user experience and NPS of the ML project by reducing the wait time for algorithm resultsIn 2023, I received a "Top Performance Award" based on the results of the previous year.

• First contact with cloud data architecture and cost management of resources on Azure.• Responsible for monitoring developers and ensuring the sustainability of products in the area by managing infrastructure and standardizing processes.• Delivered a process to monitor and bring visibility to over 2,000 data ingestion pipelines in the logistics area, improving data reliability across various dashboards. This process was later implemented across the entire analytics platform.

For 2 years during my undergraduate studies, I had the opportunity to be part of Conpec, the junior computer engineering company at UNICAMP. During this period, I was involved in the company's commercial area. As a trainee and commercial advisor, I learned and practiced customer relationship and project negotiation skills. Additionally, I had the opportunity to participate in projects as a PO (Product Owner).At the end of 2018, I applied for a director position, a role in which I would be responsible for a more strategic view of the area and lead the commercial team, passing on all the knowledge I had acquired over the past year.

During a 3-month period, the internship involved developing a dashboard for the BI team using Tableau, providing revenue visibility for the financial team.