Self-directed Health/Sales Data Analyst projects involving medical dataset analysis and predictive modeling
Other
Diagnosis
DiagnosisPerformed exploratory and statistical analysis on real-world medical datasets to extract clinically relevant signals related to disease severity and prevalence. Developed interpretable visualizations to support understanding of demographic and environmental factors. Used predictive analytics and machine learning modeling to inform potential outcomes and risk factors. • Conducted data cleaning and preprocessing for health datasets. • Identified key factors associated with severity, survival, or infection rates using statistical methods. • Built dashboards and charts to communicate medical insights to stakeholders. • Applied machine learning models for prediction of patient outcomes and risk factors.
2022 - 2022