profile sourced from GitHub
Scouting report
Puerto Rican data/ML dev with a reggaeton recommender and thesis code
assessed from open-source footprint
A data/ML-oriented developer working in Python/Jupyter. The most distinctive original project is a Spotify-API reggaeton recommendation system, alongside Kaggle challenge notebooks and thesis code on soil microbial communities — an eclectic, research-flavored set. Activity is low and uneven, though (five commits last year, 75% of repos abandoned, one star), so it reads as a sporadically maintained personal portfolio.
Authorship & open source
What they build
Industry experience
- Media & Streaming
- Social & Community
Signal breakdown
1
top repo 1
4
17% forks
5
8.4 yr
0
Active
75% stale
Strengths
- Verified author — wrote 100% of commits on Reggaeton_Recommender_System
- Data / ML focus
- Domain experience in Media & Streaming & Social & Community
- Core stack: Jupyter
About
Skills
- Jupyter
- Music
- Playlist
- Recommendation System
- Spotify Api
Featured work
Reggaeton Recommender System
I want to get better Reggaetón song recommendations
- Jupyter
- Music
- Playlist
- Recommendation System
- Spotify Api
by Jose Liquet
joseliquetgonzalez
My personal repository.
- Code
by Jose Liquet
Kaggle Challenges
Repository for my kaggle challenges
- Jupyter
by Jose Liquet
Soil Microbial Community In Plastic
This repository contains my thesis code.
- Code
by Jose Liquet