I am currently pursuing a Master of Science in Biostatistics at the University of Pittsburgh (GPA: 3.97) with a concentration in Health Data Science after earning a B.S. in Statistics from Carnegie Mellon University (GPA: 3.95).
During my time at Carnegie Mellon, I served as an Undergraduate Teaching Assistant in the Department of Statistics & Data Science. I led weekly laboratory sections of more than 40 students in introductory statistics and held weekly office hours for undergraduate...
I am currently pursuing a Master of Science in Biostatistics at the University of Pittsburgh (GPA: 3.97) with a concentration in Health Data Science after earning a B.S. in Statistics from Carnegie Mellon University (GPA: 3.95).
During my time at Carnegie Mellon, I served as an Undergraduate Teaching Assistant in the Department of Statistics & Data Science. I led weekly laboratory sections of more than 40 students in introductory statistics and held weekly office hours for undergraduate courses in calculus-based probability, statistical inference, and advanced statistical methods with enrollments exceeding 180 students. In these roles, I worked one-on-one and in small groups to help students strengthen their conceptual understanding, solve problems independently, and apply statistical methods using clear, step-by-step explanations.
Outside the classroom, I use R daily in graduate coursework and professional data analytics internships to perform data cleaning, statistical modeling, and data visualization. I have experience with linear and generalized linear models, hypothesis testing, logistic regression, survival analysis, and publication-quality graphics in ggplot2. I enjoy adapting my teaching style to each student's background and helping students build confidence while developing lasting problem-solving skills.
