profile sourced from GitHub
Scouting report
Puerto Rico CS student in C++/Python coursework
assessed from open-source footprint
Seven repos reflect academic work: a Titanic survival logistic-regression notebook covering preprocessing and model training, and a simple OpenGL vaporizer simulation in C++. Strengths are a high consistency signal and exposure to both systems-level C++ and intro ML in Python. However, the authorship check flags this person as not the primary author of the headline work, nothing is starred or deployed, and there were no commits in the past year. An honest framing: an early CS student with coursework-grade projects and a still-forming independent track record.
Authorship & open source
What they build
Industry experience
- Education & EdTech
- Data, ML & AI
- Media & Streaming
Signal breakdown
0
7
0% forks
1
3 yr
0
Active
0% stale
Strengths
- Original builder — 7 of their own repositories
- Consistently active, low abandonment
- Systems focus with Backend
- Domain experience in Education & EdTech & Data, ML & AI
- Core stack: C++, Python, CSS, Lex
About
Skills
- C++
- Python
- CSS
- Lex
Featured work
Titanic Survival Prediction Machine Learning
This project uses Logistic Regression to predict passenger survival on the Titanic dataset. It demostrates data preprocessing, model training, predic…
- Python
by Angel Santiago
VapeOpenGL
Este proyecto es una simulación simple de un vaporizador usando herramientas de OpenGL.
- C++
by Angel Santiago