Independent Data Analysis & Data Science Projects (ML modeling and evaluation)
Developed machine learning models as personal and team projects to predict health outcomes using structured demographic and biomedical features. Used logistic regression and decision tree methods to extract interpretable signals and evaluate model performance using code-based experimentation. Produced technical write-ups and contributed to research documentation based on modeling results. • Built predictive ML models for diabetes likelihood and mortality/death-rate estimation • Applied logistic regression and decision tree techniques with Scikit-learn and Pandas • Conducted model evaluation using Python-based workflows • Drafted technical reports and research analysis documentation