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Undergraduate Course, University of California, Berkeley: College of Computing and Data Science, 2023

Guiding and supporting 20+ students toward a deeper understanding of foundational computer science, data science, and statistical concepts such as Exploratory Data Analysis, confidence intervals, hypothesis testing, and k-nearest neighbors classification
Assisted 1000+ students by hosting 11 tutoring sections, 20 office hours sessions, grading 2000+ assignment questions, posting on student forums, and supporting 2 lab instructors

Undergraduate course, University of California, Berkeley: College of Computing and Data Science, 2024

Course Materials for Summer 2024 can be found here and Student Evaluations can be found here!
Led my students to achieve the highest mean (80%) and median (83%) final-exam scores among all student instructors, as well as the highest overall average (89%) and median (91%) cumulative course scores among all student instructors
Developed and delivered educational content to a student population of over 1,800 by providing comprehensive and effective instruction through 10 office hours sessions, 2 exam review sessions, answer of 400+ questions on discussion forums, and management of 3 tutors to address student questions and concerns
Led 12 lectures and guided a section of 40 students through assignments, effectively explaining statistical theory and data science practices to a demographic with limited STEM backgrounds
Enhanced the Data 8 Website using HTML, CSS, and Javascript for front-end development; adding 19 dynamic tabs to filter 250+ past exam problems by their topic
Added the Past Semesters Auxillary link, an Instructor Icon on the landing page and implemented the Hover Photo feature for 20+ staff members using JavaScript

Workshop, University of California, Berkeley: College of Computing and Data Science, 2024

Collaborated with the Achieve Program to mentor 10 interns through individual data science projects, from browsing 100+ publicly available datasets, using Python to clean and analyze the data in Jupyter Notebooks, and ultimately decking for a presentation on their research findings
Collaborated with 2 faculty directors and 2 lead facilitators to enhance the internship experience, integrating 12 learning reports and 10 external workshops featuring guest speakers from industry and academia

Undergraduate Course, Data Science Society at Berkeley, 2024

Managing 8 Teaching Assistants and 6 tutors to operate the “Introduction to Real World Data Science” course, promoting data science accessibility by 5 hosting educational workshops from industry and academic leaders
Teaching and facilitating 70+ diverse students towards the completion of an 8-week-long introductory data science project, lecturing on industry-level topics such as Pandas, data cleaning, data visualization, and machine learning
Explored domains in finance, sports analytics, and real estate while supporting 14 groups of 5 students through project planning, data cleaning, Exploratory Data Analysis, machine learning modeling, model testing, and ultimately a presentation on their findings