Pedro Lima is a software engineer and PhD student in Statistics at UT Austin with a decade of experience applying quantitative methods to finance and forecasting. He has built production ETL pipelines, automated core inflation and margin-call calculations, and implemented numerical libraries and a C++-backed Excel add-in for derivatives pricing while working with banks and market-data firms. Comfortable at the intersection of research and engineering, he brings Bayesian time-series expertise to practical forecasting problems and has led automation work using Python and SQL/Oracle. Based in Austin, he combines academic rigor from a PhD and a master's in Applied Economics with hands-on quant trading and macro strategy experience, making him adept at turning complex econometric models into reliable, scalable systems.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at The University of Texas at Austin
Bachelor's degree, Economics, Bachelor's degree, Economics at Universidade Federal de Pernambuco
Exchange Student, Economics, Exchange Student, Economics at Aarhus BSS - Aarhus University
Utilizando essa biblioteca você pode integrar o PagHiper no seu sistema e utilizar os recursos que o PagHiper fornece em sua API, deixando seu código mais legível e manutenível.
Contributions:8 releases, 3 commits, 11 PRs in 1 year
Contributions:34 commits, 27 pushes, 2 branches in 2 days
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.