Ronaldo Rodrigues
Postdoctoral Researcher - Institute Of Computing at State University of Campinas - Unicamp
São Paulo, Brazil
Summary
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Senior🎓
Top SchoolRonaldo Rodrigues is a Ph.D. physicist and data scientist with nine years of experience applying mathematical modeling, Monte Carlo simulation, and machine learning to both fundamental physics and real-world health and finance problems. He developed a novel, memory-efficient method for identifying phase transitions (MGF zeros) during his doctoral work and now applies high-performance computing to seismic data as a postdoc at Unicamp. In industry he built predictive models that improved diagnostic accuracy by 30%, an expense-forecasting model with 87% accuracy, and an NLP solution that recovered a third of a corrupted database. Comfortable bridging theory and production, he teaches statistics and programming and has a track record of turning complex simulations into practical, efficient solutions. Based in São Paulo, he combines deep expertise in Monte Carlo methods and computational physics with hands-on experience deploying data-driven products in healthcare and finance.
9 years of coding experience
1 year of employment as a software developer
Doutorado, Physics, Doutorado, Physics at Universidade Federal de Minas Gerais
English, Portuguese
Github Skills (5)
rio2
pix2
binder1
javascript1
java1
Programming languages (1)
Github contributions (5)
RGivisiez/controle-B3
Mar 2020 - May 2021
Contributions:33 commits, 7 pushes in 1 year 2 months
RGivisiez/Heisenberg-SSE
Jul 2020 - Jan 2021
Contributions:39 commits, 28 pushes, 2 branches in 6 months
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