Jookyoung Lee

Marketing Analyst Assistant @ UC San Diego | Data Science

San Diego, California, United States

About

As a Marketing Analyst Associate at UC San Diego, I specialize in organizing information, coordinating content pipelines, and ensuring smooth team collaboration. With a strong foundation in project coordination, I thrive in fast-paced environments where planning, execution, and adaptability are key to success. Currently pursuing a Bachelor of Arts in Communication with a minor in Data Science, I bring a unique blend of organizational communication and analytical thinking to project management. My experience leading initiatives at Designathon and Zucchero has sharpened my ability to manage timelines, streamline workflows, and drive measurable results across creative and operational teams. Feel free to reach out to me at [email protected]. Myers-Briggs: ENTJ

Experience

  • Marketing Analyst Assistant at UC San Diego Computer Science and Engineering Department (CSE)
    Oct 2024 - Present · 1 yr 9 mos

    • Data-Driven Content Strategy: Leveraged Excel to analyze multi-platform engagement metrics, identifying "human-centric" content as a primary driver and increasing total audience interaction by 24%. • Performance Reporting: Synthesized complex social media data into quarterly performance reports presented to the Department Chair, providing actionable insights that optimized the digital presence and community outreach. • Operational Optimization: Managed the end-to-end lifecycle of a monthly newsletter for 2,000+ subscribers, achieving a 33% average open rate through rigorous monitoring of KPIs and audience behavior trends.

  • Active Member at Phi Beta Lambda at UC San Diego
    Sep 2024 - Present · 1 yr 10 mos

    (Future Business Leaders of America) – U.S. National Business Organization Staff Member

  • Frontend Developer at LIKELION US
    Oct 2025 - Present · 9 mos

    • AI Integration & Automation: Engineered a Gmail productivity add-on using Google Apps Script and Gemini 1.5 Flash (Vertex AI) to automate email summarization and sentiment-based labeling, aiming for a 100+ user deployment on the Google Workspace Marketplace. • UI/UX & Data Architecture: Developed a responsive user interface using the Apps Script Card Service to retrieve live message data and inject LLM-generated response tokens, reducing routine email triage time by an estimated 56% during testing.

  • Project Manager at Design Co
    Jul 2025 - Sep 2025 · 3 mos

    • Orchestrated the end-to-end development of a patient-centric web-based platform for a veterinary healthcare client by defining scope and roadmaps in Notion; led a cross-functional team of engineers, researchers, and designers to deliver a scalable solution for veterinary clinics. • Authored comprehensive product requirements by synthesizing 100+ qualitative user data into actionable user stories; utilized Excel for data tracking and PowerPoint to communicate feature specifications to engineering teams. • Directed a high-fidelity Figma prototype for an Electronic Health Record (EHR) system, reducing legacy complexity by 45% through iterative testing with industry professionals.

  • 2nd Place, Designathon 2025 at Design Co at UCSD
    May 2025 - May 2025 · 1 mo

    Figma Link: https://www.figma.com/proto/Sd4KykfrnnMihiM4Y0TxnB/re-closet?node-id=3-5&starting-point-node-id=3%3A5&t=KXxt449E1lyzhJp0-1 • Led a team of 4 in a two-day design sprint judged by industry professionals from Google, Microsoft, etc. • Our team developed a mobile app focused on environmental sustainability. During the ideation phase, I used AI tools to analyze user needs and identify emerging trends, which helped define the core problem we aimed to solve. • Conducted fast-paced, insight-driven research using a variety of channels—including market reports, social media trends, primary surveys, and policy documents—to synthesize relevant information. • Mapped out user personas and service flows using Figma and Adobe Photoshop, delivering a compelling prototype that reflected both user behavior and real-world feasibility.