Academic Projects

U.S. 2020 Presidential Election Classification Study

(July 2024 - August 2024)

• Preprocessed and visualized 3000+ entries of US Census Bureau county data using tidymodels and ggplot in R
• Predicted winner of Presidential election by implementing ML algorithms including random forests, KNN, logistic regression, SVM, boosted tree models, decision trees individually and combined in an ensemble model
• Evaluated model performance using metrics such as accuracy, sensitivity logarithmic loss, and ROC AUC, producing a final model of accuracy score of 0.9316, placed 3rd in Kaggle classification competition

Academic Research

University of Michigan Research in Dermatology

(February 2021 - February 2024)

• Collaborated with UMich Dir. of Derm. to conduct Exploratory Data Analysis on 150+ social media posts using Stata and R, evaluating portrayal of rosacea on social media and assess content accuracy
• Submitted to American Acad. of Derm. and Journal of the American Acad. of Derm. in Sept. 2022

New York University

(July 2020 - January 2021)

• Utilized CDC NHANES secondary data and R to conduct a research study and paper on the racial and ethnic health disparity risk factors in patients with chronic kidney diseases
• Collaborated with Professor Gary Yu, Senior Biostatistician, to understand pattern recognition