Luan Borelli
Economist at University of California, Berkeley
Berkeley, California, United States
Summary
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Senior🎓
Top SchoolLuan Borelli is an economist and researcher with eight years of experience building and automating macroeconomic models and data tools, currently pursuing a PhD in Economics at UC Berkeley and serving as an economist there. He holds an MA from FGV/EPGE and a BA from Ibmec-RJ, and has contributed to high-profile academic collaborations with scholars at MIT and the University of Pittsburgh. At Ipea he operationalized DSGE, OLG, and VAR models, worked on COVID-era SIR models with economic interactions, and created the Ipeadatapy Python package to streamline access to national time-series data. Luan blends rigorous theoretical training with hands-on software and data engineering for reproducible research, and has experience reformulating metadata standards and automating statistical reporting to inform policy decisions. Based in Berkeley, he brings a rare mix of applied modeling, open data tooling, and academic collaboration to economics research.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at University of California, BerkeleyBA, Economics, BA, Economics at IbmecMA, Economics, MA, Economics at FGV EPGE
English, Spanish
Github Skills (22)
brazil10
essence10
refer10
wrapper10
datasets9
extraction9
geography9
api9
metadata8
economics8
economic-data8
econometrics8
database6
data-analysis6
python6
Programming languages (2)
Github contributions (5)
luanborelli/bib-econ
Jun 2020 - May 2022
bib-econ é um acervo em português de referências bibliográficas de Economia e áreas correlatas.
Contributions:125 commits, 8 PRs, 122 pushes in 1 year 11 months
econbibacervoeconomiarefer
luanborelli/ipeadatapy
Mar 2019 - Apr 2020
ipeadatapy is a data and metadata extraction package made in Python using Ipeadata database official API. In it's essence it is an API wrapper.
Contributions:1 release, 34 commits, 1 PR in 1 year 1 month
extractionpythondatageographic-datamade-in-python
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