🎯 Data Scientist specialized in Bioinformatics and Biostatistics
Passionate about biomedical data analysis, machine learning, and programming in Python and R.
My goal is to apply data science to solve real-world problems in health, biology, and biotechnology.

• 💻 Background in Bioinformatics and Biostatistics (UOC), with degrees in Food Science and Technology and Biotechnology.
• 🧬 Experience in machine learning projects with clinical data (early sepsis detection).
• 📊 Interested in predictive modeling, omics data analysis, and reproducible workflows.

Languages & Tools
💡 Python · R · SQL · Git · Bash

Machine Learning & Data Science
📈 scikit-learn · pandas · NumPy · matplotlib · seaborn · caret · statsmodels · xgboost · lightgbm · imbalanced-learn · scipy · shap · plotly · mlr3 · ggplot2

Bioinformatics & Statistics
🧫 Bioconductor · tidyverse · DESeq2 · edgeR · limma · ggpubr · survminer · mixed models · cross-validation · exploratory data analysis · hypothesis testing · regression modeling · data normalization · reproducible workflows

📫 LinkedIn – Alba Gorriz
🌱 Always open to collaborations in data science and bioinformatics projects.

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