profile sourced from GitHub
Scouting report
Data-science academic work; ignore the inflated Staff label
assessed from open-source footprint
Nikita's real signal is quantitative and academic — a Minerva University capstone plus a statistical analysis of yut-stick tosses, working in Jupyter, Python, R, and Kotlin, which points to a genuine data-science orientation. Two honest caveats: the 'Staff' experience label does not match a dormant account with no commits in the past year and every repo abandoned, and the 16 merged pull requests are against the person's own repositories — there are zero verified external open-source contributions. Read it as a research/data-minded early-career developer, not a senior engineer.
Authorship & open source
What they build
Industry experience
- Education & EdTech
Signal breakdown
0
6
14% forks
0
8.4 yr
0
Quiet
100% stale
Strengths
- Verified author — wrote 100% of commits on fractal_resource
- 16 merged pull requests
- Original builder — 6 of their own repositories
- Data / ML focus with Frontend
- Domain experience in Education & EdTech
- Core stack: Jupyter, HTML, R, Kotlin
About
Skills
- Jupyter
- HTML
- R
- Kotlin
- Python