- Incoming Summer 2026
- Risk Analysis Team

- Led team of 10 in developing Python/Jupyter-based dashboards to identify performance bottlenecks in GPU trace data
- Synthesized GPU trace analysis insights to stakeholders, enabling targeted optimization efforts across engineering teams
- Coordinated team execution through structured delegation/weekly milestone tracking; reduced GPU runtime by ~500 μs

- Collaborated cross-functionally with business & data science teams using Python/SQL to highlight absenteeism factors
- Directed Tensorflow ML model creation in a team of 5 to classify future student tendencies, increasing accuracy by ~10%
- Enhancing stakeholder decision-making speed with dashboards (using Matplotlib & Seaborn) for funding allocation

- Supporting 15+ student tutoring sections with assignments in an foundational data science course of 1500+ students
- Graded assignments such as homeworks and projects thoroughly which tested students’ data science principles

- Taught and led Data 198: Intro to Real World Data Science facilitated by the Data Science Society at UC Berkeley
- Mentored students with creating full scale real world data science/ML projects centered around the Data Science Lifecycle

Data Science w/ Education Minor

Clubs/Activities: Data Discovery Program, Data Science Undergraduate Course Staff, Data Science Society, Data Scholars Foundations Program

Relevant Classes: AP Calculus, Web Development, AP Physics, AP Government, and AP Macroeconomics

- Summer Program that teaches concepts about Object Oriented Programming in Java.
- Built important Java skills which helped my confidence in highschool and personal projects

- Utilized computer vision and programming tools in tournaments around the bay area for the Westmoor Robotics club
- Taught younger members the basics of programming in Java, to code the functionalities of the robot used in competitions, and to communicate with the leaders of the build team to create a working robot throughout the school year