Undergraduate Student Instructor

U.C. Berkeley Aug 2025 — Dec 2025

Under the direction of Professor Jeremy Sanchez, I led weekly discussion sections for 45 students, delivering core instruction on foundational data science principles. I developed interactive Jupyter Notebook demos using Pandas and Seaborn to translate complex statistical theory into hands-on learning experiences. Additionally, I facilitated weekly office hours to provide personalized mentorship and adapt course fundamentals to diverse learning paces.

Undergraduate Researcher

U.C. Berkeley May 2025 — Dec 2025

I served as an Undergraduate Researcher at StrangLab focused on validating Quasi-Sparse models for audio ddata. I helped architect a high-scale pipeline using Wavelet-based transformations to generate over 10 million timestamped coefficients from 1,000 file permutations within RAVDESS Emotional Speech Audio dataset. My analysis involved examining case studies to verify an agreement for the null assumption on the nature of audio data.

Marketing Analytics Student Consultant

NFL+ Jan 2025 — May 2025

I spearheaded the consumer research and data strategy for a project focused on enhancing NFL+ Premium. I helped securing 515 survey responses, using decision tree analysis to segment users into high-value personas. Alongisde SWOT analysis of competing platforms, I contributed to data-driven recommendations for features like the "Fantasy Football Integration" to personalize the fan experience.

Data Science Student Consultant

Major League Soccer (MLS) Aug 2024 — Dec 2024

To address whether MLS franchises should prioritize the international transfer market or homegrown talent, I conducted a research-driven analysis using permutation testing on over 10,000 Premier League data entries. My research alongside a groupof other studeny-analysts revealed key-perofrmance indicators to a player's performance. these findings through high-dimensional visualizations in Matplotlib and Seaborn, providing a data-backed framework to optimize roster construction and scouting focus within the MLS.

Unix / Linux Team: Student Assistant

Franchise Tax Board May 2023 — Jan 2024

Working within the Unix/Linux team, I supported the state's tax administration mission by managing and maintaining Red Hat Linux servers to ensure high performance, security, and 24/7 availability. I contributed to the technical documentation of IT policies and procedures, helping to streamline infrastructure standards across the department. This role provided me with a foundational understanding of enterprise-level IT services and the critical importance of maintaining secure, scalable server environments.

Footwear Associate

Dick's Sporting Goods may 2021 — oct 2022

I’ve always enjoyed connecting with people, and as a Footwear Specialist, I took pride in providing a welcoming and helpful experience for every customer. Beyond advising on technical footwear specifications to find the perfect fit, I maintained the operational "behind-the-scenes" of the store through inventory control and visual merchandising. This role was fundamental in refining my ability to communicate clearly and adapt quickly in a fast-paced, person-to-person environment—skills that I carry into every technical project I take on.