• Worked on Lux, a Python library extending Pandas for data visualization, under Doris Lee and Professor Aditya Parameswaran.

• Added several important features relating to backwards compatibility, history tracking, and test coverage with Pandas.

• Contributed to paper Lux: Always-on Visualization Recommendations for Exploratory Data Science.

• Head TA for Principles/Techniques of Data Science with over 1300 students (the largest upper division classes at UC Berkeley).

• Taught weekly lab and discussion sections of 30 students on topics including data visualization and analysis, data cleaning, regressions, classifiers, cross-validation, and more, in addition to holding weekly office hours.

• Responsible for various logistical duties including writing, proctoring, and grading exams, building and maintaining homework assignments, and leading a large staff of 50 TAs, tutors, and academic interns.

• Awarded the Outstanding Graduate Student Instructor Award, given to the top 10% of TAs across UC Berkeley.

· Teaching three sections of six to seven students bi-weekly on computer science topics including recursion, trees, linked lists, and more.

· Responsible for various logistical duties including grading and proctoring exams, grading projects, and running review sessions.

• Utilized backend tools such as Flask, Celery, and RabbitMQ to integrate Predict with Amazon Web Services.

• Completed projects including an automated scheduler (APScheduler), automated email alerts, and websocket connections.