profile sourced from GitHub
Scouting report
Data-science master's coursework in Jupyter, early portfolio
assessed from open-source footprint
Javel is working through a CU Boulder data-science master's, and most of the eleven repos are exactly that — labelled course projects (text classification for marketing analytics, data-structures pathway work) in Jupyter notebooks. The bio adds an energy-engineering and analyst background that the public repos don't independently show. Signals are modest: two stars at most, no external open-source contributions, no commits in the last year, and a high share of repos left dormant after their course wrapped. This is a genuine learning trajectory in applied data science, still at the academic-portfolio stage rather than shipped, maintained work.
Authorship & open source
What they build
Industry experience
- Data, ML & AI
Signal breakdown
2
top repo 2
11
15% forks
0
4.9 yr
1
Quiet
82% stale
Strengths
- Verified author — wrote 100% of commits on MS-DS-COLORADO-BOULDER-PROJECTS
- Original builder — 11 of their own repositories
- Data / ML focus
- Domain experience in Data, ML & AI
- Core stack: Jupyter
About
Skills
- Jupyter
- Github Config
Featured work
MS DS COLORADO BOULDER PROJECTS
Projects done for Data structures and algorithms pathway
- Jupyter
by Javel Williamson
DTSA 5798
Supervised Text Classification for Marketing Analytics
- Jupyter
by Javel Williamson
DTSA 5799
Unsupervised Text Classification for Marketing Analytics
- Jupyter
by Javel Williamson
DTSA 5301
Data Science as a Field( CU BOULDER)
- Code
by Javel Williamson
J Will Code
Config files for my GitHub profile.
- Config
- Github Config
by Javel Williamson
MACHINE LEARNING PROJECTS
ML Projects undertaken to increase my knowledge base
- Jupyter
by Javel Williamson