Daniel Souza
About Daniel Souza
Daniel Souza is a research assistant with extensive experience in economics and data analysis. He currently works at LOGIT and Fundação Getulio Vargas in Brazil, while pursuing a PhD in Economics at Universidade Federal Fluminense.
Current Role at Fundação Getulio Vargas
Daniel Souza serves as an Assistente de Pesquisa at Fundação Getulio Vargas in Rio de Janeiro, Brazil, since 2023. In this role, he contributes to various research projects, leveraging his analytical skills and experience in data analysis. His responsibilities include generating graphs and maps, as well as assisting in the preparation of reports and academic articles.
Professional Experience at LOGIT
Since 2024, Daniel has been working as a Consultor assistente at LOGIT in São Paulo, Brazil. His role involves supporting logistics and transportation research, where he applies his expertise in data analysis and research methodologies. This position complements his ongoing academic pursuits and enhances his practical experience in the field.
Educational Background in Economics
Daniel Souza has a comprehensive educational background in Economics. He completed his Bacharelado at Pontifícia Universidade Católica do Rio de Janeiro from 2013 to 2017. He then pursued a Mestrado at Universidade Federal Fluminense from 2019 to 2021, focusing on the impact of air pollution on educational performance. Currently, he is enrolled in a Doutorado program at Universidade Federal Fluminense, which he began in 2023, concentrating on social policies related to education.
Research Experience and Contributions
Daniel has extensive research experience, having worked at the Climate Policy Initiative in various capacities from 2015 to 2020. His work focused on sustainable development, land use, and rural credit policy in Brazil. He also contributed to projects involving public health and educational outcomes at IDados Consultoria. His dissertation during his Master's program examined the effects of air pollution on educational performance, showcasing his commitment to impactful research.
Technical Skills and Data Analysis Expertise
Daniel possesses strong analytical capabilities and is proficient in various data analysis software, including Stata, R, Power BI, LaTeX, QGIS, Excel, Word, and PowerPoint. His technical skills enable him to effectively analyze complex datasets and contribute to the preparation of policy briefs and academic articles. This expertise is essential for his roles in research and consulting.