profile sourced from GitHub
Scouting report
Cuban data/ML engineer authoring dengue-prediction research code in Python
assessed from open-source footprint
A Cuban Data/ML engineer with a backend-heavy, ML-focused profile across 15 original repositories and strong authored activity (110 commits in the last year, flagged a major contributor). The work is concrete: ML_paper holds Python code predicting dengue incidence with a machine-learning algorithm, alongside documentation for a hexagonal architecture. The code is genuinely his own rather than forks, though the repos have not yet drawn stars or external visibility. A real, hands-on research-oriented engineer.
Authorship & open source
What they build
Industry experience
- Education & EdTech
- Social & Community
Signal breakdown
0
15
0% forks
0
3.1 yr
0
Active
13% stale
Strengths
- Major contributor on their flagship repositories
- Original builder — 15 of their own repositories
- Consistently active, low abandonment
- Backend focus with Data / ML
- Domain experience in Education & EdTech & Social & Community
- Core stack: Python, TypeScript, Dockerfile
About
Skills
- Python
- TypeScript
- Dockerfile
- Dengue Incidence
- Prediction
Featured work
Doc Hex Arch
Documentacion para la Arquitectura hexagonal
- TypeScript
by Andrey
ML Paper
python code to predict dengue incidence using a machine learning algorithm.
- Python
- Dengue Incidence
- Prediction
by Andrey
Telegram Api
telegram API to chat with manyn bots based on CHATGPT
- Python
by Andrey
Images Counter
Project to count the number of images in every news inside of every edition of the cuban newspaper www.granma.cu
- Python
by Andrey