profile sourced from GitHub
Scouting report
Certification-track data science learner working in Jupyter
assessed from open-source footprint
Gabriela's ten public repositories are all Jupyter notebooks, pointing to a structured, certification-driven path into data science (the visible work, like extracting and visualizing stock data, reads as guided coursework). There are no stars, no followers, and no commits in the past year, with every repo dormant, so the profile shows a foundation being laid rather than shipped projects. The genuine signal here is a clear focus on Python data work and a multi-year account; the limit is that nothing yet demonstrates independent, applied output. Early-career and still building a public track record.
Authorship & open source
What they build
Industry experience
- Data, ML & AI
- Health & Wellness
Signal breakdown
0
10
0% forks
0
4.1 yr
0
Quiet
100% stale
Strengths
- Verified author — wrote 100% of commits on Data-Analysis-with-Python
- Original builder — 10 of their own repositories
- Data / ML focus
- Domain experience in Data, ML & AI & Health & Wellness
- Core stack: Jupyter
About
Skills
- Jupyter