Rafael Pereira
Head Of Data Science At The Department Of Regional, Urban And Environmental Studies And Policies
Brasília, Federal District, Brazil
Summary
👤
Senior🎓
Top SchoolRafael Pereira is Head of Data Science at Ipea and a transport geographer who blends rigorous academic research with practical data engineering to shape urban and mobility policy in Brazil. With a PhD from Oxford and over a decade at Ipea, he specializes in assessing how urban and transport interventions affect spatial access, health and social inequalities. He contributes to open-source tools like the widely used geobr package—helping make official Brazilian spatial data accessible in R and Python—bringing reproducible spatial analysis into policymaking. A recipient of multiple awards for his doctoral and early-career work, Rafael combines demography, spatial analysis and code-level contributions to translate complex mobility patterns into actionable evidence.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Transport Geography, Doctor of Philosophy - PhD, Transport Geography at University of OxfordMaster's degree, Demography and Population Studies, Master's degree, Demography and Population Studies at Universidade Estadual de CampinasBachelor of Science - BS, Sociology, Bachelor of Science - BS, Sociology at Universidade de Brasília
Portuguese, English, Spanish
Stackoverflow
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186answers
91questions
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top-5%
dataframe
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csv
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Github Skills (16)
r10
ggplot9
dataframe9
data-analysis9
forloop9
csv9
test-driven-design9
apply9
spatial6
merge6
spss6
gis6
shapefile6
dictionary6
categorization6
Programming languages (10)
Github contributions (5)
ipeaGIT/geobr
Feb 2019 - Aug 2022
Easy access to official spatial data sets of Brazil in R and Python
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:21 releases, 22 reviews, 3580 commits in 3 years 6 months
Contributions summary:Rafael's contributions primarily involve merging code branches. The code changes in the provided commits involve significant changes to the `tests_data_formats.R` and `read_health_facilities.R` and `read_census_tract.R` files. The code changes includes the addition of tests for data formats and the inclusion of more parameters in read functions.
r-packagepythondata-setsgeographyspatial
rafapereirabr/bot_esquinadobrasil
Aug 2021 - Feb 2023
Contributions:1 release, 67 commits, 48 pushes in 1 year 6 months
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