profile sourced from GitHub
Scouting report
Data/ML developer doing Python sports-analytics modeling, mostly via forks
assessed from open-source footprint
Eric (Dev @ 22 Blak) works in Python, Jupyter and R on data/ML, with an original predictive project, Fantasy Baseball Regression, modeling MLB batting data. Worth noting honestly: his 235 repos are heavily fork-driven (0.89 fork ratio), originality scores low at 23, and standout authored work is limited. The data focus and two merged PRs are real, but much of the footprint is forks and watch-list activity rather than original authored projects.
Authorship & open source
What they build
Industry experience
- Education & EdTech
- Data, ML & AI
Signal breakdown
2
top repo 2
11
89% forks
33
17.8 yr
1
Active
82% stale
Strengths
- Major contributor on their flagship repositories
- Data / ML focus with Backend
- Domain experience in Education & EdTech & Data, ML & AI
- Core stack: Python, Jupyter, R
About
Skills
- Jupyter
- Python
- R
Featured work
Fantasy Baseball Regression
Fantasy baseball focused predictive model for MLB season batting data.
- Jupyter
by Eric Colon
Skills Introduction To Github
Github education project
- Code
by Eric Colon
Volume Bot
A Solana volume bot integrated with Jito 🤖 Supports Pump.fun, Raydium, Moonshot and more...
- Code
by Eric Colon
TennisPrediction 2
This project proposes a novel approach for tennis modeling by introducing stacking, an ensemble learning technique used to combine information from m…
- Python
by Eric Colon
Random Forests
Predicting Baseball Statistics: Random Forest Classification/Regression Application in Python Using scikit-learn
- Jupyter
by Eric Colon
Tennis Betting
Aim to predict outcomes of ATP tennis matches using ML/stochastic modelling/ranking systems etc..
- Jupyter
by Eric Colon