Daniel Marcelino
Data Political Scientist
Brasília, Federal District, Brazil
Summary
👤
Senior🎓
Top SchoolDaniel Marcelino is a data political scientist with 11 years of experience blending social and political science rigor with advanced computational skills to inform data-driven public policy. Based in Brasília, he leads data and political analysis at JOTA while teaching MBA students at Ibmec, applying R, Python, SQL and reactive programming to predictive analytics and computational journalism. His background advising municipal government and working at IPEA demonstrates hands-on experience designing surveys, building policy-monitoring indicators, and implementing data enrichment for evaluation at scale. He has a track record of turning complex government data into automated reports, dashboards and practical recommendations that influence decision-making. Comfortable both in academic research settings and fast-moving newsrooms, he combines methodological depth from graduate work with the pragmatism of public sector implementation. Colleagues value his ability to translate algorithms and large datasets into clear narratives for policymakers and the public.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree, SOCIAL SCIENCES, Bachelor's degree, SOCIAL SCIENCES at Universidade Federal do ParanáMaster's degree, Social Sciences - Comparative Studies, Master's degree, Social Sciences - Comparative Studies at Universidade de Brasília
English, French, Portuguese
Github Skills (46)
kaggle10
r-package10
classification10
r10
data-mining10
microsoft9
parallel9
gradient-boosting9
gradient9
python9
machine-learning9
lightgbm9
boosting9
high-performance9
decision-tree9
Programming languages (5)
Github contributions (5)
dmarcelinobr/pollingland
Oct 2015 - Oct 2023
Contributions:96 pushes, 1 branch in 8 years 1 month
danielmarcelino/danielmarcelino.github.io
Jul 2015 - Dec 2015
Contributions:213 pushes, 1 branch in 4 months
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