I'm currently working as a Data Science Corporate Leader at Agibank in Porto Alegre, Brazil, engaging in Data Science projects. My main interests comprises data analysis, data visualization, statistical modelling, open-source technologies (R, Python, Shiny, RStudio, Jupyter Notebooks, etc.), software development and Big Data.
I recently worked as a Postdoctoral Scholar at the Center for Geospatial Sciences at the University of California, campus Riverside (UCR). In this experience, I worked under the supervision of Serge Rey and the research involved developing new methods of inference for nonspatial and spatial segregation measures, new methods for identifying and dealing with neighborhoods, spatial interpolation methods, and data visualization for spatial data. I'm also a Core Developer of the Python Spatial Analysis Library (PySAL).
I earned a Ph.D. in Economics from the Pontifical Catholic University of Rio Grande do Sul (2017) (with Honorable Mention), a Master's in Statistics from the Federal University of Minas Gerais (2014) and a Bachelor's in Statistics from the Federal University of Rio Grande do Sul (2010). Besides my academic career, I also worked as a researcher in statistics at the Statistics and Economics Foundation in southern Brazil for eight years and was a professor of Data Analysis with R at the Data Science and Big Data post-graduation of UniRitter university.
With the Coronavirus outbreak having an unprecedented impact on education, Springer Nature launched a global program to support learning and teaching at higher education institutions worldwide. This project is an R package that has the
download_springer_book_files function which can be used to download all (or a subset) of these Springer book files freely available.
For more infomation, click here.
In most of my leisure time, I like to spend it playing my acoustic guitar.
I also enjoy practicing basically any kind of sport.