TA for 36-315: Statistical Graphics and Visualization.- Graded lab assignments for 100 students and led weekly labs on data visualization basics in R and ggplot2.- Reviewed data visualization design strategies with students and helped them debug their R code.

TA for 36-202: Methods for Statistics and Data Science. - Hosted office hours and labs with statistics in R, proctored exams, and graded assignments for 190 students.- Reviewed introductory statistics, data science, and coding concepts while helping students through conducting their own statistical research projects and strengthening their debugging skills in R.

- Compiled and analyzed information in Excel on universities regarding available data visualization courses.- Contributed to research that will be published in an upcoming paper.

Supported 260 residents in Fraternity and Sorority Life housing, attended weekly staff meetings and semesterly training, and planned and hosted monthly events.

Compiled a data base of undergraduate history departments across the country and helped with administrative tasks in the office.

Taught 17 students in the Summer Academy of Math and Science (SAMS) and the School of Computer Science (SCS) Scholars pre-college programs about data science, hosted office hours, and used Python and Grafana to create data visualizations with data provided from the Pittsburgh Supercomputing Center.

Undergraduate Research Assistant for CMU HCI Lab.

One of 86 undergraduate students in North America selected for a competitive five-month data scienceapprenticeship involving small and large group projects, one-on-one mentorship opportunities, peernetworking, and technical workshops.

One of 22 undergraduate students selected to be a part of the founding cohort of the AWSEM program at Carnegie Mellon University.