Carlos Parada
Data Scientist
Irvine, California, United States
Summary
🤩
Rockstar🎓
Top SchoolCarlos Parada is a data scientist with five years of experience blending behavioral economics research and applied data work, currently contributing to Avum Inc. after roles as a developer-research assistant at TuringLang and as an undergraduate researcher at Carleton College. He pairs rigorous academic training in economics with hands-on experimentation—designing interventions to improve charitable giving—and a background tutoring STEM subjects, which sharpens his ability to explain complex quantitative ideas to diverse audiences. Based in Irvine, CA, Carlos is motivated to advance toward a PhD and a dual career as a researcher and educator, bringing curiosity-driven problem solving and practical implementation experience to data-driven projects. An often-overlooked strength is his long record of one-on-one teaching, which influences his collaborative and communication-first approach to analytics and model deployment.
5 years of coding experience
4 years of employment as a software developer
Irvine Valley CollegeBachelor's degree Economics, Bachelor's degree Economics at Carleton College
Github Skills (200)
probabilistic-programming10
typesetting10
modular10
markov-chain10
linear-models10
mixed-models10
markov10
julia10
data-science10
distributions10
programming-language10
approximate10
prediction10
bayesian-inference10
sampling10
Programming languages (17)
Github contributions (5)
TuringLang/ParetoSmooth.jl
Jun 2021 - Dec 2022
An implementation of PSIS algorithms in Julia.
Contributions:7 reviews, 181 commits, 58 PRs in 1 year 5 months
julia
ParadaCarleton/QuasiMonteCarlo.jl
Oct 2022 - Dec 2022
Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)
Contributions:61 PRs, 43 pushes, 58 branches in 2 months
automatic-differentiationmonte-carloscientific-machine-learningquasidde
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.