Elizabeth Willey

Mathematics graduate with a focus on statistical analysis and predictive modeling, aiming to enhance healthcare outcomes through data-driven methods. Proven ability to collaborate and solve complex problems, with hands-on customer service experience reinforcing analytical skills in diverse environments.

Wisconsin Diagnostic Breast Cancer (WDBC) Classification | R

• Analyzed the WDBC dataset to classify breast tumors as benign or malignant using statistical and predictive modeling techniques.
• Performed data cleaning, exploratory data analysis, model evaluation, and data visualization to communicate findings.

Group Theory Applications in Crystallography

• Applied group theory concepts to analyze crystal symmetry, point groups, and space groups in crystallographic structures.
• Interpreted mathematical models to demonstrate real-world applications of abstract algebra in materials science.

Diamond Classification Analysis | R

• Developed classification models to analyze relationships between diamond characteristics and quality.
• Conducted data cleaning, exploratory data analysis, visualization, and model evaluation using R.

• Summa cum laude
• Cum laude