Matilda Gaddi

Identified unmet user needs through interviews with 6 users, translated findings into product requirements, and built a metadata search architecture, adoption strategy, and lifecycle plan in partnership with 2 engineers. Defined success metrics and shipped an MVP in Databricks with PySpark that improved search accuracy 35% on broad queries and 70% on specific queries, accelerating publication of government data.

Data Product Manager Intern - USAFacts - Seattle, WA

(2025-04 - 2025-06)

• Identified unmet user needs through interviews with 6 users, translated findings into product requirements, and built a metadata search architecture, adoption strategy, and lifecycle plan in partnership with 2 engineers.
• Defined success metrics and shipped an MVP in Databricks with PySpark that improved search accuracy 35% on broad queries and 70% on specific queries, accelerating publication of government data.

Founder & Head Organizer - San Diego Undergraduate Tech Conference - San Diego, CA

(2025-01)

• Leading and planning roadmaps for an annual 12-week collaborative summer program and fall venue supporting ~20 undergrads in developing and showcasing research projects, overseeing 3 assistant organizers, 5 alumni mentors, 10 reviewers, securing 3 sponsors with direct outreach, and hosting ~100 event attendees, each per year.
• Managed changes to program features and marketing strategy improvements based on stakeholder feedback, increasing retention rate by 18% YoY. Authored a paper on design and outcomes (Publication at ISLS ICLS 2026).

Office of the Chief Data Officer Intern - U.S. Department of Commerce - Washington, D.C.

(2024-07 - 2024-09)

• Initiated an automated text mining tool for analysis of 37 documents from a Request For Information based on team pain points, decreasing search workload 10x for writing GenAI and Open Data Guidelines (Publication at DoC 2025).
• Collected and prioritized SME insights for the Department of Commerce's 2025–2028 Data Strategy to design new economic initiatives and support oversight of 47,000+ datasets.
• Interned in the U.S. Bureau of Economic Analysis (BEA) with similar projects in 2023.

Data Science & Analytics Intern - Cotality - San Diego, CA

(2025-06 - 2025-08)

• Engineered pipeline, API, and prompts for LLMs for scaled automation of data ingestion of property tax payments, using Gemini, GCP, BigQuery, Python, speeding data onboarding time from weeks to hours, minimizing fees.
• Trained and tested an LGBM by engineering 8+ massive proprietary datasets for a new index forecasting housing insurance premiums, with expected generation of $4 million+ in revenue in the first 3 years on the market.

Researcher - System Energy Efficiency Lab, UCSD Computer Science Department

(2023-08 - 2026-07)

Professor Tajana Rosing, funded by Semiconductor Research Corporation (SRC)

• Devised novel methods in efficient ML, AI LLM-based privacy, and personalization by engineering and analyzing trade-offs of end-to-end ML architectures and algorithms to reduce inference time by 7x and training time by 30x compared to the state of the art for HyperECG publication.
• Publications: HyperECG (IEEE BIBE 2025), CyberMaskQA (ArXiv 2026), and one WIP targeting TCAD 2027
• Best Presentation Award: Semiconductor Research Corp. Undergrad Research Symposium 2024

Teaching Assistant - UCSD Halıcıoğlu Data Science Institute - San Diego, CA

(2023-09 - 2025-12)

• Educated 700+ students. Delivered 2 lectures, led 15 discussion sections, held office hours for tutoring, and designed 30+ assignments and assessments.

M.S. - Computer Science - Stanford University (2026-09 - 2028-06)

B.S. - Data Science; Minor in Sociology - University of California, San Diego (UCSD) (2022-09 - 2026-03)