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Federico Trotta

About Federico

Bio data pipeline

Bio data pipelineIn this project, the goal was to create an automated ETL (Extract, Transform, Load) pipeline capable of processing, cleaning, and analyzing over 7 million records from the Behavioral Risk Factor Surveillance System (BRFSS) dataset, covering 16 years of he

Bio data pipeline

Bio data pipelineIn this project, the goal was to create an automated ETL (Extract, Transform, Load) pipeline capable of processing, cleaning, and analyzing over 7 million records from the Behavioral Risk Factor Surveillance System (BRFSS) dataset, covering 16 years of he

Cardiovascular Disease Prediction ProjectThis project predicts Myocardial Infarction, Coronary Heart Disease, and Stroke risks using machine learning. It analyzes lifestyle, clinical, and demographic factors to identify high-risk individuals for early intervention and preventive healthcare.

Cardiovascular Disease Prediction ProjectThis project predicts Myocardial Infarction, Coronary Heart Disease, and Stroke risks using machine learning. It analyzes lifestyle, clinical, and demographic factors to identify high-risk individuals for early intervention and preventive healthcare.

Predictive Modeling of Drug Sensitivity using GDSC DatasetDeveloped ML models (LASSO, XGBoost) to predict cancer drug response using GDSC data. Uncovered key biomarkers and pathways (e.g., PI3K, SUMOylation), blending accuracy with interpretability to support precision oncology and drug discovery.

Predictive Modeling of Drug Sensitivity using GDSC DatasetDeveloped ML models (LASSO, XGBoost) to predict cancer drug response using GDSC data. Uncovered key biomarkers and pathways (e.g., PI3K, SUMOylation), blending accuracy with interpretability to support precision oncology and drug discovery.

About Federico

Bio data pipeline

Bio data pipeline

Cardiovascular Disease Prediction Project

Predictive Modeling of Drug Sensitivity using GDSC Dataset