As a member of the management team at Beedata, a competitive data science league at USP, I was able to develop my skills in data analysis and machine learning. This experience inspired me to seek opportunities in the field of data science and contribute to innovative projects.

As a Data Science intern, I was responsible for:Designing dashboards for internal clients;Executing complex queries on databases;Developing automated data analysis services involving APIs;Conducting Extract, Transform, and Load (ETL) processes for large data volumes.

As a QA intern, I was responsible for:-Developing and executing test plans for web, desktop, and mobile systems;-Designing and implementing automated web tests using tools such as Playwright and Selenium;-Collaborating closely with front-end and back-end teams utilizing tools like Jira and agile methodologies;-Maintaining robust communication with developers and managers;-Implementing testing practices based on Behavior-Driven Development (BDD);-Engaging in Continuous Integration/Continuous Deployment (CI/CD) processes;

During my time as a young apprentice in technology during high school, I had the opportunity to explore different areas of technology and discover my passion for data science. It was an interesting time, where I could learn from experienced professionals and apply my knowledge to real projects. This experience inspired me to seek opportunities in the field of data science and contribute to innovative projects.