Rodrigo Targino
Associate Professor
Rio de Janeiro, Brazil
Summary
👤
Senior🎓
Top SchoolRodrigo Targino is an associate professor and quantitative specialist with eight years of professional experience bridging credit and market risk modeling and academic research in mathematical finance and actuarial mathematics. He combines hands-on expertise in R, MATLAB and SAS with deep quantitative foundations in calculus, probability, statistics and stochastic calculus, developed through a PhD in Statistics from UCL and roles at FGV, UCSB and research visits to CSIRO. Rodrigo has practical industry experience building risk systems and credit-scoring models at Credit Suisse and Itaú, and translates that into applied teaching and research at the School of Applied Mathematics. Based in Rio de Janeiro, he is comfortable moving between production risk analytics and theoretical model development, and has a track record of leveraging academic-sabbatical collaborations to bring fresh methods into practice.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Statistics, M.Sc., Statistics, B.Sc., Applied Mathematics, Doctor of Philosophy (PhD), Statistics, M.Sc., Statistics, B.Sc., Applied Mathematics at University College London, U. of London
Universidade Federal do Rio de Janeiro
Portuguese, English
Github Skills (17)
dplyr6
machine-learning5
python5
ppp5
spark4
ssl4
apache-spark4
data-science4
r4
ide4
ssh4
tunnel3
vpn3
apache2
sparklyr1
Programming languages (3)
Github contributions (5)
rtargino/ML_BSc_2019
Feb 2019 - Jul 2019
Code repository for the undergraduate Machine Learning course at FGV (2019)
Contributions:30 commits, 30 PRs, 29 pushes in 4 months
undergraduatepythondata-sciencemachine-learning-coursemachine-learning
rtargino/starter-academic
Sep 2020 - Dec 2023
Contributions:39 pushes, 1 branch in 3 years 3 months
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