Gustavo Amarante
Analista De Sistemas Da Informação at DETRAN AMAZONAS
Amazonas, Brazil
Summary
👤
Senior🎓
Top SchoolGustavo Amarante is an information systems analyst with eight years of hands-on IT and operational experience across public and private sectors in Amazonas, Brazil. He has led IT operations and ERP management as a TI Coordinator, combining network administration, Active Directory, virtualization and vendor management with data reporting via Power BI and SQL/Oracle. His background includes technical support for industrial printers and quality systems at Brady, and earlier logistics operations at LG, giving him a practical, end-to-end view of tech-driven processes. On GitHub he contributes to quantitative finance tooling, working with time series and a B3 scrapper for DI1 futures and an ACM term premium model—an uncommon intersection of systems administration and data science. Comfortable both configuring infrastructure and delivering analytical insights, he brings reliability, compliance-minded practices, and a pragmatic focus on turning data into actionable reports.
8 years of coding experience
Bacharelado, Computer Engineering, Bacharelado, Computer Engineering at FUCAPI
Github Skills (8)
finance10
pandas10
statistical-models10
python10
webscraping10
modeling10
data-analysis10
machine-learning9
Programming languages (3)
Github contributions (5)
Finance-Hub/FinanceHub
Jul 2018 - May 2021
Resources for Quantitative Finance
Role in this project:
Data Scientist
Data ScientistContributions:4 reviews, 211 commits, 61 PRs in 2 years 10 months
Contributions summary:Gustavo's commits indicate contributions toward building a quantitative finance resource. They have been involved in organizing the repository, including refactoring code into modules and implementing a B3 scrapper for DI1 futures. The changes show the user working with time series data, and they added a module for modeling the ACM term premium model.
sectradingquantitative-financequantitativefinance
gusamarante/dsgepy
Jul 2019 - Jan 2023
Calibrate, estimate and analyze linearized DSGE models.
Contributions:1 release, 94 commits, 7 PRs in 3 years 6 months
pythonmacroeconometricsdsgeestimatemacroeconomics
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.