profile sourced from GitHub
Scouting report
Math-trained data scientist with early computer-vision experiments
assessed from open-source footprint
Alejandro comes from a mathematics background (applied-math master's coursework appears in the repos) and is moving into data science and computer vision. The work includes a neural-network optimization case study, a 100-topic computer-vision learning challenge, and an R utilities collection — coherent for someone building ML foundations. Signal remains thin: five repos, no stars, only two commits last year, and most projects abandoned. The mathematical grounding is a real differentiator, but there's no deployed or external-contribution evidence yet to corroborate practical delivery.
Authorship & open source
What they build
Industry experience
- Data, ML & AI
Signal breakdown
0
5
0% forks
6
5.4 yr
0
Active
80% stale
Strengths
- Verified author — wrote 100% of commits on no-do
- Original builder — 5 of their own repositories
- Data / ML focus with Frontend
- Domain experience in Data, ML & AI
- Core stack: JavaScript, Jupyter, R
About
Skills
- JavaScript
- Jupyter
- R
Featured work
No Do
SQL Dependency Graph Visualizer — FastAPI + Canvas force-directed graph
- JavaScript
by Alejandro Castillo
101 Days Of Computer Vision
This repo is a challenge to lear computer vision in 100 different topics
- Code
by Alejandro Castillo
Cats Vs Dogs
Caso práctico de red neuronal para la materia de optimización, en la maestría de matemática aplicada.
- Jupyter
by Alejandro Castillo
R SwissKnife
In this repo, im uploading handy tools i've used to manage data with R
- R
by Alejandro Castillo