I joined the Future Technologies & Experience team, which aims to generate innovations using machine learning techniques.

I was part of a Data Analytics team responsible for providing Data Pipelines using DAGs in Airflow and running them in EMR; Data Infrastructure in Data Warehouse and Amazon S3 Bucket; Data analysis with SQL, Power Bi and Tableau. I participated in all processes, always aiming to obtain new insights to support business decision-making.Main activities:- Performed data analysis to answer business questions, for that I created Dashboards in Power BI and Tableau.- I acted as a SCRUM facilitator to help my team, we achieved an improvement in the sprint efforts with better distribution of resources and faster deliveries.- I created a documentation plan included in tasks to improve knowledge management good practices, this helped a lot in faster maintenance of DAGs made by different team members.- Scripts produced using Pyspark to have better data quality and get faster analysis, we get clean data in data warehouse with faster queries

I joined HP Personal Systems as a Data Scientist Intern, and during my internship, I underwent a period of adaptation to big data, which included taking a mini-course on Google BigQuery. In addition, I was allocated to a team where my role is to analyze and pre-process data through SQL scripts for the development of dashboards in various tools, such as Power BI.Main activities:- Develop dashboards in Power BI, Tableau and Redash- Develop SQL queries for Google bigquery- Study how AWS services like Amazon Redshift work- Participate in international meetings- Study Machine Learning Operations (MLOps) to expand my understanding of the data engineering landscape.

I was a tutor in subjects involving data science. My main responsibilities are evaluating tests, student work, answering student questions and teaching and improving teaching plans through student feedback.

I worked as an intern fellow at the Software Innovation Laboratory, a partnership between PUCRS and HP. During the entire period of work, I learned and applied machine learning concepts in computer vision using the pytorch, tensorflow, keras OCR and scikitlearn libraries.Main activities:- Develop python scripts to optimize model training- Train computer vision models to test possible solutions- Search for scientific articles to find personalized solutions- Participate in multidisciplinary meetings- Write technical reports summarizing scientific articles for stakeholders

I worked as a researcher and developer in the area of ​​game development using the Unity platform. The project's main objective was to produce a tool to assist elementary schools in complying with Law 11.645/8, which makes the teaching of Afro-Brazilian and Indigenous History and Culture mandatory in the schools' pedagogical political project.Main activities:- Study about history and Afro-Brazilian culture on capoeira- Participate in game development events- Understand the preferences, motivations and consumption patterns of the targeted audience- Develop C# event oriented scripts- Plan tasks on Trello- Active participation on multidisciplinary meetings