Rafael Guerrero

Data / ML Engineer

// trinidad and tobago, tt · UTC-4

Building in the open from Trinidad & Tobago. Data / ML Engineer.

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Scouting report

Trinidadian data dabbler with ML tutorial notebooks and phylogenetics appendices

assessed from open-source footprint

Junior

30signal

A Trinidad & Tobago profile oriented toward data/ML, with Jupyter work including a regression-and-classification tutorial and R-code appendices for a phylogenetics research paper. The academic/scientific angle is a real differentiator, but everything is unstarred, abandoned, and tutorial- or appendix-grade rather than production projects. An early-stage data portfolio with a research flavor but limited authored breadth.

Authorship & open source

Solo authorwrote 100% of commits on Regress-and-Class-Tutorial

1 merged PRs0 commits / yr

What they build

Data / ML100%

Signal breakdown

Originality75

Impact2

Consistency15

Polish40

Stars

Original repos

0% forks

Followers

On GitHub

8 yr

Live demos

Activity

Quiet

100% stale

Strengths

Verified author — wrote 100% of commits on Regress-and-Class-Tutorial
Data / ML focus
Core stack: Jupyter

About

Data / ML Engineer from Trinidad & Tobago, active on GitHub with 3 public repositories and 0 followers. Explore the work and reach out on GitHub.

Skills

Jupyter

Featured work

Regress And Class Tutorial

Regression & Classification Tutorial

Jupyter

by Rafael Guerrero

Phylogenetics Project Appendices

Appendices for R-code and PAUP output for the paper, "The Process and Comparison of Some Phylogenetic Tree Reconstruction Methods on Molecular Data o…

Code

by Rafael Guerrero

Phylogenetic Project Appendices

Appendices for R-code and PAUP output for the paper, "The Process and Comparison of Some Phylogenetic Tree Reconstruction Methods on Molecular Data o…

Code

by Rafael Guerrero