profile sourced from GitHub
Scouting report
Puerto Rican CS student doing applied ML on satellite imagery and launch data
assessed from open-source footprint
A Computer Science and Engineering student working in Python/Jupyter on data-science projects. His two original notebooks are coursework-grade but concrete: predicting Falcon 9 landing success with ML, and comparing CNN architectures for satellite image classification. No stars or collaboration signal yet and only a handful of commits, so it reads as a small, focused early ML portfolio rather than proven production work.
Authorship & open source
What they build
Industry experience
- Data, ML & AI
- Education & EdTech
- Media & Streaming
Signal breakdown
0
3
0% forks
1
4.3 yr
0
Active
0% stale
Strengths
- Verified author — wrote 100% of commits on AI-project2-Julio
- Consistently active, low abandonment
- Data / ML focus
- Domain experience in Data, ML & AI & Education & EdTech
- Core stack: Jupyter
About
Skills
- Jupyter
Featured work
SpaceX Launchs Analysis
In this project we predict the Falcon 9 landing success using different types of machine learning and data science techniques.
- Jupyter
by Julio Camacho
CNN Models Comparison
This mini-project focused on comparing CNN models to identify the most effective architecture for satellite image classification.
- Jupyter
by Julio Camacho