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Scouting report
Petroleum engineer learning data science via a capstone in Jupyter
assessed from open-source footprint
Junior
29signal
Kofi is a petroleum engineer moving toward data science, evidenced by an 'Applied Data Science Capstone' notebook and a GitHub setup guide, both in Jupyter. This is a credible early learning trajectory bridging a domain background into analytics, but the public output is limited to coursework, with no stars, no commits in the past year, and no verified external contributions. The domain-plus-data angle is the interesting differentiator; the honest limit is that the data-science work is still introductory and not yet demonstrated beyond a capstone exercise.
Authorship & open source
Solo authorwrote 100% of commits on Applied_Data_Science_Capstone
0 merged PRs0 commits / yr
What they build
Data / ML100%
Signal breakdown
Originality74
Impact0
Consistency14
Polish40
Stars
0
Original repos
2
0% forks
Followers
0
On GitHub
8 yr
Live demos
0
Activity
Quiet
100% stale
Strengths
- Verified author — wrote 100% of commits on Applied_Data_Science_Capstone
- Data / ML focus
- Core stack: Jupyter
About
Petroleum Engineer — 2 public repositories and 0 followers on GitHub.
Skills
- Jupyter