profile sourced from GitHub
Scouting report
Self-taught ML enthusiast with a backlog of learning notebooks
assessed from open-source footprint
A Python-focused, machine-learning-curious developer whose dozen repos are mostly Jupyter exercises — Kaggle's Titanic, heart-disease analysis, SuperDataScience monthly challenges, and a hotdog/not-hotdog model — reflecting genuine self-study of ML and deep learning. The breadth of topics is the strength. Limits are equally clear: zero stars, no commits in the past year, and an all-abandoned repo set on an old account, so this is a dormant learning portfolio rather than evidence of production ML work. No verified external open-source contributions.
Authorship & open source
What they build
Industry experience
- Education & EdTech
- Data, ML & AI
Signal breakdown
0
12
0% forks
2
11.5 yr
0
Quiet
100% stale
Strengths
- Verified author — wrote 100% of commits on Cars_Price
- Original builder — 12 of their own repositories
- Data / ML focus with Backend
- Domain experience in Education & EdTech & Data, ML & AI
- Core stack: Python, Jupyter
About
Skills
- Python
- Jupyter
Featured work
Cars Price
Octuber's SDS Club Monthly Challenge
- Jupyter
by Alberto Casado
Flights
SuperDataScience Club Monthly Challenge
- Jupyter
by Alberto Casado
Titanic
Kaggle famous Titanic Dataset for Machine Learning beginners
- Jupyter
by Alberto Casado
Heart
Analising heart disease data
- Jupyter
by Alberto Casado
Hotdog Not Hotdog
Trying the model from silicon valley
- Python
by Alberto Casado
Credit Card Fraud
Classifying credit card frauds
- Python
by Alberto Casado