profile sourced from GitHub
Scouting report
Dominican data/BI practitioner building Python ML prediction notebooks
assessed from open-source footprint
Melvin frames himself around data science and BI, and the repos back that lane: five original projects, all his own, covering loan-prepayment prediction, e-commerce purchase modeling, and a Random Forest heart-attack predictor in Python/Jupyter. It's a small, coherent ML portfolio of dataset-driven coursework — no stars, no deployments, and no external collaboration yet, so it reads as solid early applied-ML practice rather than production work.
Authorship & open source
What they build
Industry experience
- Data, ML & AI
- E-commerce & Retail
- Education & EdTech
Signal breakdown
0
5
0% forks
0
1.5 yr
0
Active
0% stale
Strengths
- Verified author — wrote 100% of commits on F1_Prediction_Podium
- Original builder — 5 of their own repositories
- Consistently active, low abandonment
- Data / ML focus with Frontend
- Domain experience in Data, ML & AI & E-commerce & Retail
- Core stack: Jupyter, HTML
About
Skills
- Jupyter
- HTML
Featured work
LoanPrepaymentPrediction
In this project I worked with a public dataset from gaggle "Loan-prepayment-Dataset". I used Python 3.11 as a based language, Jupyter Notebook and di…
- Code
by Melvin Fernadez
E CommerceClientsPredictionML
Modelo de predicción de compra en una página web e-commerce
- HTML
by Melvin Fernadez
Heart Ataacks Prediction
Heart attack prediction with Random Forest, Machine Learning, python
- Jupyter
by Melvin Fernadez