profile sourced from GitHub
Scouting report
Numerical-methods researcher in Python/Jupyter
assessed from open-source footprint
Amalia works squarely in data/ML (84%) with a research bent: Damage Control Feature Selection predicts mortality risk in surgical patients, and Eigen-Analyzer computes eigenvalues/eigenvectors for matrix analysis. Stars are low (max 2) and the work is academic rather than productized, but consistency is high (93) and the applied-math/medical-ML angle is real. A strong early-career fit for research-leaning data teams, not yet a production ML engineer.
Authorship & open source
Contributes to
- RafaFdezF/SO_UCLV0★
- RafaFdezF/PS_UCLV0★
What they build
Industry experience
- Education & EdTech
Signal breakdown
4
top repo 2
8
11% forks
11
2 yr
0
Active
0% stale
Strengths
- Verified author — wrote 100% of commits on amaliezzz
- Open-source contributor — 2 external projects incl. RafaFdezF/SO_UCLV (0★)
- Original builder — 8 of their own repositories
- Consistently active, low abandonment
- Data / ML focus with Backend
- Domain experience in Education & EdTech
- Core stack: Jupyter, Python
About
Skills
- Jupyter
- Python
- Analyzer
- Matrix
- Matrix Decompositions
- Numerical Methods
- Streamlit
Featured work
Damage Control Feature Selection
Analysis and prediction of mortality risk factors in patients undergoing damage control surgery with abdominal packing. The project emphasizes the se…
- Jupyter
by Amalia Rodríguez
Eigen Analyzer
Eigen-Analyzer: A numerical tool for matrix analysis, computing eigenvalues and eigenvectors.
- Jupyter
- Analyzer
- Matrix
- Matrix Decompositions
- Numerical Methods
by Amalia Rodríguez
Echonet Dl
Ejection fraction estimation from apical 4-chamber echocardiogram videos is achieved through a pipeline combining deep learning segmentation and deta…
- Code
by Amalia Rodríguez