During my internship at Bayer, I served as a data scientist, primarily focused on optimizing plantingprescriptions for farmers. My responsibilities included analyzing productivity trends, generating seedrecommendations, and developing planting and harvest maps to enhance agricultural efficiency. Additionally,I leveraged my skills as a data engineer to create streamlined pipelines for applications using Streamlit,design and deploy APIs, and configure Docker containers. Furthermore, I gained valuable experience incloud computing, working with various cloud platforms to implement scalable solutions.

I participated in the project waterproofing data from Fundação Getulio Vargas(FGV), as a backend developer. I fixed some issues in the API and implemented new features for the mobile app. In the project, I used Azure Functions with Python, a PostgreSQL database and an API built in JavaScript.

I received a scholarship from FAPESP to actuate in the project Observatório de Conflitos na Internet, where I was responsible to automatise the collection of posts on Twitter and a publication the results of analyses from this post on the page of the project.