profile sourced from GitHub
Scouting report
Junior data/ML learner, tutorial repos, no external work
assessed from open-source footprint
An early-stage data/ML profile under the name 'Tom,' with five public repositories of which two are original (0.6 fork ratio) and none have stars or followers. The visible projects are a 'github-slideshow' training repo (a GitHub Learning Lab exercise) and a 'Dog Adoption Data Science Project' notebook, both learning-oriented. Despite a 'major contributor' authorship tag, there are zero verified external open-source contributions and no commits in the past year. The 'Junior' label is fair. Honest assessment: a beginner exploring Ruby and Jupyter through tutorials, with no independent flagship project or external footprint yet to evaluate.
Authorship & open source
What they build
Industry experience
- IoT & Hardware
- Data, ML & AI
Signal breakdown
0
2
60% forks
0
5.9 yr
1
Quiet
100% stale
Strengths
- Major contributor on their flagship repositories
- Backend focus with Data / ML
- Domain experience in IoT & Hardware & Data, ML & AI
- Core stack: Ruby, Jupyter
About
Skills
- Ruby
- Jupyter