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Scouting report
Data-science learner with IBM/Coursera capstones and an AI side project
assessed from open-source footprint
Mid
33signal
A profile oriented toward data and ML, with 23 repos heavy on Jupyter, R and Python, anchored by IBM Applied Data Science and Coursera-style capstones plus an early fitness AI RAG app. The course-completion trail shows a deliberate data-science learning path. Limits are real, though: a 0.96 abandoned ratio, no stars, no followers, only one deployment, no commits in the past year, and no verified external OSS work. An honest read is a self-directed learner accumulating coursework who has yet to convert it into maintained, original projects.
Authorship & open source
Solo authorwrote 100% of commits on fitness-ai
3 merged PRs0 commits / yr1 private contributions / yr
What they build
Data / ML68%
Frontend29%
Industry experience
- Data, ML & AI
- Health & Wellness
- Productivity & SaaS
Signal breakdown
Originality92
Impact5
Consistency29
Polish13
Stars
0
Original repos
23
18% forks
Followers
0
On GitHub
6.9 yr
Live demos
1
Activity
Quiet
96% stale
Strengths
- Verified author — wrote 100% of commits on fitness-ai
- Original builder — 23 of their own repositories
- Data / ML focus with Frontend
- Domain experience in Data, ML & AI & Health & Wellness
- Core stack: Jupyter, HTML, R, Python
About
Full-Stack Engineer from Trinidad & Tobago, active on GitHub with 28 public repositories and 0 followers. Explore the work and reach out on GitHub.
Skills
- Jupyter
- HTML
- R
- Python
- TeX