Worked with a multidisciplinary team in the development of studies and research papers/white-papers to assess the impact of public policies on Brazilian industrial development by gathering data from different sources and surveys, and analyzing it with simulation and quasi-experiment methods (difference in differences, propensity score matching), and data visualization techniques;

With a team, I developed a web enabled tool called The Competitiveness Decoder® (http://decoder.thegfcc.org/) that is focused on country data and has the goal of allowing users to learn and master the complexity related to competitiveness through different lenses. Find out more about it here: http://decoder.thegfcc.org/learn/decoder. You can find me under “Former Team Members” on the website;

Supervised the work of other statisticians, helped other teams to build a data frame suitable for answering questions in their areas, and followed up with them to verify the validity of the methods and the outputs they were producing.

Taught applied statistics to undergraduate students from areas outside STEM (e.g. social sciences, psychology & others);

Found ways to convey complex concepts to a non-technical audience.

Developed studies and research papers that used statistical and econometric methods to understand and quantify the impact of different Brazilian policies to support industry development;

Provided technical and methodological advisory services to senior researchers regarding statistical and econometric methods at various stages in the research process;

Handled, processed, and analyzed large datasets (12GB, 50+ million observations) of firm-level and employee data from Census and Surveys using SAS (PROC SQL).