Researcher with experience integrating bioinformatics, data science, and experimental biology. Skilled in statistical modeling, machine learning (Random Forest, PCA), and large-scale omics analysis using R and Python. Applied computational workflows to predict cardiovascular events, analyze RNA-seq data, and integrate clinical biomarkers for precision medicine. Proficient in data preprocessing, visualization, and model validation (ROC, AUC, confusion matrices). Adept at bridging data-driven insights with experimental validation in biomedical and engineering contexts.