profile sourced from GitHub
Scouting report
Domain scientist learning R and data science via MOOCs
assessed from open-source footprint
Raymond is a working scientist in agriculture, energy and herbal-formulation research, and his GitHub reflects that origin: seventeen repositories heavy on Coursera/Udemy/Johns Hopkins data-science course exercises in R, TeX and HTML. The practical signal is real motivation to pick up data analysis, but the repos are course work, none have stars, ninety percent are abandoned, there are no commits this past year, and no verified external contributions. Positioned honestly, this is a domain expert early in a self-taught data-science journey — strong subject context, but the public code is learning output rather than shipped tools.
Authorship & open source
What they build
Industry experience
- IoT & Hardware
- Education & EdTech
Signal breakdown
0
10
41% forks
1
6.5 yr
1
Quiet
90% stale
Strengths
- Verified author — wrote 100% of commits on howcreatewebsite
- Frontend focus with Data / ML
- Domain experience in IoT & Hardware & Education & EdTech
- Core stack: HTML, R, TeX
About
Skills
- HTML
- R
- TeX
Featured work
howcreatewebsite
How to create websites using HTML and CSS from Udemy
- Code
by Raymond Morales
Github Slideshow
A robot powered training repository :robot:
- HTML
by Raymond Morales
Hello World2
This is a repository for practicing R Programming
- Code
by Raymond Morales
Datasciencecoursera
Create repository for course project #1
- Code
by Raymond Morales
HopkinsDataScience
John HupkinsCourse of Data Science
- TeX
by Raymond Morales
Hello World
Coursera Practice
- Code
by Raymond Morales