# 🧬 Patricia C. Torrell
### Clinical Data Analyst
**Machine Learning · Clinical Research · Reproducible Science**
📁 Portfolio of Clinical Data Science Projects
🧬 About Me
Clinical Data Analyst specializing in:
- structured clinical datasets
- reproducible analytical pipelines
- machine learning for risk prediction
- scientific communication and interpretability
My work focuses on building clinically meaningful, transparent and reproducible models that support decision‑making in healthcare.
📁 Featured Projects
### 🧠 Alzheimer’s Disease — Brain Morphology & Mental Health
Multivariate analysis of brain volumes, symptom severity, daily functioning and diagnosis in Alzheimer’s disease.
👉
View project website
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GitHub repository
📊 Additional Projects
More clinical data science projects will be added shortly.
🧩 Skills
- Clinical data preprocessing (missingness, outliers, encoding)
- Statistical analysis (R, Python, SPSS)
- Machine learning for risk prediction
- Feature engineering guided by clinical knowledge
- Model evaluation and interpretability
- Reproducible pipelines (pandas, PySpark, sklearn)
- Scientific communication and reporting
💼 Experience
Clinical Data Analyst
- Analysis of structured clinical datasets
- Development of reproducible analytical workflows
- Risk prediction modeling in healthcare contexts
- Preparation of technical and scientific reports
- GitHub: https://github.com/PatriCT240
- LinkedIn
Last updated: January 2026