profile sourced from GitHub
Scouting report
MBA/electronics engineer with Coursera-era R and data-science coursework
assessed from open-source footprint
The most populated of the thin profiles here: 22 repos (about 7 original, high fork ratio) accumulated over a near-decade account, centered on Johns-Hopkins-style data-science coursework in R plus assorted HTML and learning repos. None carry stars, abandonedRatio is total, and there were no commits in the past year, so the activity reads as a completed self-study sequence rather than ongoing building. An engineering-plus-MBA background and demonstrated follow-through on a data-science curriculum are the real positives; production or original project depth is not yet evident.
Authorship & open source
What they build
Industry experience
- Education & EdTech
Signal breakdown
0
7
68% forks
1
9.7 yr
0
Quiet
100% stale
Strengths
- Verified author — wrote 100% of commits on ReproducibleResearch
- Frontend focus with Data / ML
- Domain experience in Education & EdTech
- Core stack: HTML, R, Rebol
About
Skills
- HTML
- R
- Rebol
Featured work
ReproducibleResearchProject1
Reproducible Research Course , Assignment 1
- Code
by Roberto Cossich
GettingCleaningData
Getting and cleaning data course project
- R
by Roberto Cossich
datasciencecoursera
Data Science course
- Code
by Roberto Cossich
testing
testing repo linked with RStudio
- Rebol
by Roberto Cossich
Hello World
First repository to test GitHub version control
- Code
by Roberto Cossich