My Projects.
Welcome to my Project Website! As a current student of UCLA's Master of Applied Statistics and Data Science program and a recent graduate student from UCLA's Bachelor of Science in Statistics and Data Science, I am excited to share some of the interesting projects I completed during my studies. I am passionate about Data Science and Statistics and have been able to hone my skills in a number of challenging projects. Each project showcases my unique approach and style, and highlights my ability to develop complex solutions to real-world problems.
01
This group project from STATS 141XP class delves into the correlation between the amount of playing time missed in MiLB and a player's performance in MLB using dataset of Minor and Major League games from 2013 to 2022 to provide meaningful insights into baseball analytics.
02
In this group project we did in STATS 101C class, our team leveraged data analytics and machine learning to predict heart disease outcomes. Our exploratory data analysis highlighted key factors such as age, exercise-induced angina, and ST depression as significant predictors of heart disease. We prepared our dataset with careful preprocessing, including one-hot encoding for categorical variables and min-max scaling for numerical variables to ensure model accuracy.
