profile sourced from GitHub
Scouting report
Data-analysis grad — churn modeling & k-means in Jupyter
assessed from open-source footprint
Gregory's GitHub is data-science coursework: a customer-churn project using k-means clustering and logistic regression, plus an IBM Data Science Coursera capstone, all in Jupyter. It's certification- and practice-heavy with low independent signal — 8 repos, 3 commits last year, a single merged PR, and 75% abandonment. A credible entry-level data/analytics candidate, but the work to date is academic rather than production.
Authorship & open source
What they build
Industry experience
- Fintech & Payments
- Education & EdTech
Signal breakdown
6
top repo 2
8
0% forks
4
7 yr
0
Active
75% stale
Strengths
- Verified author — wrote 100% of commits on Gregory-Pinchinat-churn-bi-project-final_version
- Original builder — 8 of their own repositories
- Data / ML focus with Frontend
- Domain experience in Fintech & Payments & Education & EdTech
- Core stack: Jupyter, HTML
About
Skills
- Jupyter
- HTML
Featured work
Gregory Pinchinat Churn Bi Project Final Version
Customer Churn Analysis - Customer Segmentation (k-means clustering classification) - Logistic Regression
- Jupyter
by gregpinchy
Coursera Capstone Final
Battle of the Neighborhoods - Final Project for getting IBM's Data Science Professional Certificate on Coursera
- Jupyter
by gregpinchy
Creative Capstone AA
Economic Time Series Analysis - VAR - ARMAX - AR - US-HT Exchange Rate - Inflation - Imports - Exports - Remittances
- Jupyter
by gregpinchy
Creative Capstone
Students spending - State University of Haiti - Regression Analysis - Clustering
- Jupyter
by gregpinchy
Coursera Capstone
Applied Data Science Capstone Project
- Jupyter
by gregpinchy
Memoire De Sortie Des Ctpea
Mon mémoire de sortie en vue de l'obtention d'un DES en Economie Quantitative Appliquée, option Statistique, au Centre de Techniques de Planification…
- Code
by gregpinchy