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Scouting report
Barbados data/ML developer exploring LSTM time-series forecasting in Jupyter
assessed from open-source footprint
Mid
31signal
Amelia is a Barbados-based data/ML developer working entirely in Jupyter, with strong commit consistency. Her standout original project is "LSTM Soil Moisture Forecasting," a time-series neural-network notebook and her sole 1-star repo. The wider footprint is fork-heavy (0.77 fork ratio) with only three original repos, so the ML interest is genuine but the authored body of work is small.
Authorship & open source
Solo authorwrote 100% of commits on LSTM-soil-moisture-forecasting
3 merged PRs7 commits / yr12 private contributions / yr
What they build
Data / ML100%
Industry experience
- Data, ML & AI
Signal breakdown
Originality25
Impact16
Consistency75
Polish13
Stars
1
top repo 1
Original repos
3
77% forks
Followers
0
On GitHub
8.3 yr
Live demos
0
Activity
Active
33% stale
Strengths
- Verified author — wrote 100% of commits on LSTM-soil-moisture-forecasting
- Consistently active, low abandonment
- Data / ML focus
- Domain experience in Data, ML & AI
- Core stack: Jupyter
About
Data / ML Engineer from Barbados, active on GitHub with 13 public repositories and 0 followers. Explore the work and reach out on GitHub.
Skills
- Jupyter