I’m a data/political scientist with extensive knowledge of R, Python, SQL, and reactive programming. I completed a Master degree in Comparative Studies with emphasis in political science and quantitative methods at University of Brasilia. My professional interests lie on the interface of social behavior, big data, and informatics (aka. computational social science). In particular, I’m interested in public opinion and voting, multi-agent systems and data-driven policy making.
PhD in Political Sciences
University of Montreal
Master in Comparative Studies, 2010
University of Brasilia
BSc in Social Sciences, 2006
Federal University of Parana
Advise the Mayor and the cabinet of the Secretary for Sports, Recreation, and Youth on strategic planning, promotion, and evaluation of the municipal policy. Also to assist the municipal administration to interpret and to develop a variety of policy monitoring indicators.
My responsibilities includ:
Assist the principal researcher with articulation and management of research projects and field-works. Also, to produce statistics, indicators, and bibliographic reviews.
This is a minimal set of notes and examples that form the foundation of my introduction to the analysis of variance.
DataCamp course introducing Bayesian methods for linear regression using the rstanarm package.
The Dynamic Learning Maps® Alternate Assessment System is a large scale assessment administered by the Center for Accessible Teaching, Learning, and Assessment Systems at the University of Kansas.
PhD dissertation submitted to the School of Education at the University of Kansas.
Models developed for the prediction of individual games, European domestic leagues, and the UEFA Champions League.
Template for writing theses and dissertations at the University of Kansas using rmarkdown and bookdown.
Undergraduate Honors Thesis for psychology departmental honors at the University of Kansas. Winner for the Department of Psychology’s best Honors Thesis and Outstanding Research by an Undergraduate in Psychology.