Fernando Meireles

Coordenador at MAPE | Laboratório de Monitoramento e Avaliação de Políticas e Eleições do IESP-UERJ

Rio de Janeiro, Brazil
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Summary

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Senior
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Top School
Fernando Meireles is a political scientist and data-driven researcher with 12 years of experience bridging academia and applied public-opinion consulting in Brazil. As Professor Adjunto at IESP-UERJ and partner at Quaest, he blends machine learning, causal inference, and survey methods to study how institutions and elections shape representation, and previously led data science efforts as Quaest’s Chief Data Scientist. His career spans postdoctoral positions at CEBRAP and UFMG, a lecturership at FGV EESP, and a visiting scholarship at Essex, reflecting a rare mix of rigorous scholarship and practical electoral analytics. An open-source developer for social science tools, he brings reproducible research practices to empirical political inquiry and frequently translates complex methods into usable tools for policymakers and researchers.
code12 years of coding experience
job1 year of employment as a software developer
bookVisiting Scholar Political Science, Visiting Scholar Political Science at University of Essex
bookDoutorado Ciência Política, Doutorado Ciência Política at Universidade Federal de Minas Gerais
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Github Skills (12)

scrape10
r-package10
predict10
cran9
brazil9
r8
datasets7
deflate6
journal2
creative-commons2
academia1
open-access1

Programming languages (3)

RAstroJupyter Notebook

Github contributions (5)

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meirelesff/siconvr

Mar 2021 - Sep 2021

An R package to fetch data from Plataforma +Brasil (Siconv)
Contributions:1 release, 2 reviews, 30 commits in 5 months
rr-packageplataforma-brasilsiconvpublic-data
iesp-uerj/olb

Mar 2019 - Jan 2021

Contributions:32 commits, 29 pushes, 2 branches in 1 year 10 months
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