Scouting report
AML/financial-crime pro reskilling into data science via bootcamp work
assessed from open-source footprint
A career anti-money-laundering and financial-crime specialist (self-reported 15+ years) now learning data science, with seven repos skewed ~80% toward Jupyter notebooks — sales-prediction exercises and bootcamp group work. The domain expertise behind a pivot into data is a real differentiator, and the notebooks show hands-on practice. That said, the work is early and unpolished (low polish score), nothing is starred, and there are no commits in the past year; the two merged PRs are on his own repos, not external open source. Promising mid-career pivot; the public coding portfolio is still nascent.
Authorship & open source
What they build
Signal breakdown
0
7
13% forks
1
4.2 yr
0
Quiet
100% stale
Strengths
- Verified author — wrote 100% of commits on django-apps
- Original builder — 7 of their own repositories
- Data / ML focus with Frontend
- Core stack: Jupyter, Hack, JavaScript
About
Skills
- Jupyter
- Hack
- JavaScript