Experience

Research, teaching & professional development

Southern California Edison (SCE)

Incoming Intern – SP&E Summer 2026

Incoming summer intern in the System Planning & Engineering (SP&E) division at Southern California Edison, one of the largest electric utilities in the United States serving approximately 15 million people across 50,000 square miles. The role focuses on supporting grid planning and engineering analysis efforts that help maintain reliable, safe, and modern electric service across Southern California.

Power BI SQL Grid Planning Python Data Analysis System Modeling

UC San Diego HDSI 3.0 Lab

Undergraduate Research Fellow 2025 – Present

Working at the intersection of AI, engineering, and art to build K–12 educational engagement projects at the Halıcıoğlu Data Science Institute (HDSI) 3.0 Lab. The fellowship combines data science, robotics, and creative technologies with hands-on experience across multiple domains.

Python OpenCV LLMs Arduino Raspberry Pi 3D Printing React Astro Machine Learning

Norco College Learning Resources Center

Peer Tutor Jan 2023 – June 2025

Tutored over 100 students in Calculus, Statistics, and C++, developing strong communication and mentoring skills while maintaining accurate documentation and timesheets.

Guided students step-by-step through problem-solving, ensuring conceptual understanding and independent thinking. Helped students build confidence in STEM subjects and achieve their academic goals.

Calculus Statistics C++ Mentoring CRLA Certified
100+ Students Tutored
2.5 Years
3 Subjects
CRLA Tutoring Certificate
CSUF Data Science Intern Project

CIC Summer Research Program

Data Science Intern May – July 2024

Analyzed and structured European football match records through data cleaning, transformation, and Elo-based rating engineering. Built predictive models with Logistic Regression and XGBoost, achieving strong classification performance.

Addressed class imbalance using SMOTE and undersampling techniques. Delivered insights through visual presentation to peers and program coordinators.

Python XGBoost Logistic Regression SMOTE Data Visualization
61% Accuracy
+20% Recall Improvement