profile sourced from GitHub
Scouting report
Cuban full-stack developer mixing frontend work with Jupyter ML experiments
assessed from open-source footprint
Daniel splits his work between frontend and data/ML, with 17 original repos including an Iris-classification KDD project comparing KNN, decision trees and Naive Bayes. He has three deployed projects and a handful of followers, but a fairly high abandonment ratio (~0.47) and modest commit cadence (22 last year) point to an in-progress, learning-oriented portfolio with light traction.
Authorship & open source
What they build
Signal breakdown
7
top repo 1
17
39% forks
6
4.8 yr
3
Active
47% stale
Strengths
- Verified author — wrote 100% of commits on iris-classification-kdd
- Ships to production — 3 live demos
- Frontend focus with Data / ML
- Core stack: JavaScript, Jupyter, Python, HTML
About
Skills
- JavaScript
- Jupyter
- TypeScript
- HTML
- Python
- Github Config
Featured work
Iris Classification Kdd
This project applies KDD (Knowledge Discovery in Databases) to classify Iris flowers using KNN, Decision Tree & Naive Bayes algorithms. It explores d…
- Jupyter
by Daniel Lozano
daniellg01
Config files for my GitHub profile.
- Config
- Github Config
by Daniel Lozano
Outerplanar Mis
🔍 Maximum Independent Set in Outerplanar Graphs An efficient algorithm to find the Maximum Independent Set (MIS) in outerplanar graphs, with brute-f…
- Python
by Daniel Lozano