Machine Learning · Clinical Research · Reproducible Science
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.
Machine‑learning framework for migraine risk assessment integrating clinical preprocessing, calibrated probability modeling, SHAP‑based insights, decision‑threshold tuning, and subgroup fairness evaluation to ensure reliable and equitable predictions.
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👉 GitHub repository
End‑to‑end machine learning pipeline for cardiovascular disease risk prediction, including clinical cleaning, feature engineering, robust preprocessing, model training, calibration, interpretability, and reporting.
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👉 GitHub repository
Machine learning pipeline for kidney stone risk prediction, featuring calibrated models, interpretability (Permutation Importance + PDPs), and a clean modular architecture for clinical decision support.
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👉 GitHub repository
Clinically grounded analysis of brain morphology, daily functioning, and symptom severity across Alzheimer's disease diagnostic groups, featuring rigorous statistical analysis, baseline predictive modeling, and a fully modular pipeline structure.
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👉 GitHub repository
Analysis of antimicrobial resistance (AMR) in Spain using EARS-Net data (2000–2018), exploring resistance patterns by age, gender, bacteria–antibiotic profiles, trends over time, and predictive modeling to support clinical and public health decisions.
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👉 GitHub repository
- 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
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
Last updated: March 2026