I am a physicist, completing the final year of a master's degree and studying systems analysis and development. Passionate about science and knowledge, I am carrying out intensive studies in Data Analysis tools such as Python, Machine Learning, SQL, Power BI and Excel. And also, I am enjoying exploring the web development world.
Code development for ETL process flow (Apache Airflow, Python, Data Pipeline).
Development of research on energy efficiency, public policies in the area of energy and relations between energy and climate change. Study of projections and reporting.
Research development in metallic biomaterials for biomedical applications. Group laboratory activities and reporting.
Thesis: Econometric estimate of the energy consumption of air conditioners in buildings in Brazil.
Term paper: Development and Characterization of Ti-10Mo-25Zr Alloy
My proposed solution for the Codenation Data Science Challenge to enter the AceleraDev program. In this project, we had to predict the math grades of students who took the Brasilian National Exam (ENEM), using the other subjects grades to build up a Machine Learning model.
This project is an introductory exercise to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. We had two datasets that were merged to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.
This project was developed to fix the usability problems on the SAGe (FAPESP) website.
