profile sourced from GitHub
Scouting report
Dominican data scientist building geospatial optimization tools in Python
assessed from open-source footprint
Pedro is a Python/Jupyter data scientist whose small portfolio is recent and genuinely authored: 23 commits in the last year as solo author across all-original repos with zero abandonment. Standout work is applied operations-research: "geo-agent" for geospatial street assignment and a vehicle-scheduling project combining clustering with the Traveling Salesman Problem. No stars or external traction yet, but the work is real, focused, and self-driven rather than padded.
Authorship & open source
What they build
Industry experience
- Gaming
Signal breakdown
0
6
0% forks
1
1.3 yr
1
Active
0% stale
Strengths
- Verified author — wrote 100% of commits on game-theory
- Original builder — 6 of their own repositories
- Consistently active, low abandonment
- Data / ML focus with Backend
- Domain experience in Gaming
- Core stack: Python, Jupyter
About
Skills
- Python
- Jupyter
Featured work
Geo Agent
Sistema de asignación geoespacial de calles.
- Python
by Pedro Miguel Figueroa Domínguez
Vehicle Scheduling Problem
This project is designed to optimize visit routes to different geographical locations using clustering algorithms and the Traveling Salesman Problem…
- Jupyter
by Pedro Miguel Figueroa Domínguez
Romantic Message Generator
Romantic Message Generator es una aplicación interactiva desarrollada con streamlit que genera mensajes de amor personalizados a partir de plantillas…
- Python
by Pedro Miguel Figueroa Domínguez
SNP Individuos Sanos IBS
This project focuses on extracting, processing, and transforming genomic data from the Phase 3 of the Genome Project of healthy individuals from the…
- Python
by Pedro Miguel Figueroa Domínguez