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Scouting report
Cuban data/ML engineer building simulation-driven prediction tools in Python
assessed from open-source footprint
Staff
43signal
Twenty-seven-year-old CS graduate from Cuba focused on data and ML, working in Jupyter, Python and Haskell. The clearest original work is Olympics-Swimming-Predictions, a simulation-based tool over swimming data (3 stars). The packet credits 20 merged pull requests, suggesting real contribution activity, though the overall footprint is small, mostly abandoned, and lightly starred.
Authorship & open source
Solo authorwrote 100% of commits on Olympics-Swimming-Predictions
20 merged PRs0 commits / yr1 external project157 private contributions / yr
Contributes to
- sorbotics/yolov90★
What they build
Data / ML86%
Backend14%
Industry experience
- Data, ML & AI
Signal breakdown
Originality67
Impact55
Consistency25
Polish8
Stars
4
top repo 3
Original repos
5
17% forks
Followers
23
On GitHub
6.9 yr
Live demos
0
Activity
Quiet
80% stale
Strengths
- Verified author — wrote 100% of commits on Olympics-Swimming-Predictions
- 20 merged pull requests
- Original builder — 5 of their own repositories
- Data / ML focus with Backend
- Domain experience in Data, ML & AI
- Core stack: Jupyter, Haskell, Python
About
27 y.o B.S in Computer Science. — 6 public repositories and 23 followers on GitHub.
Skills
- Jupyter
- Python
- Haskell
- Ai
- Csv
- Pandas
- Python3
- Simulation