Current Position
- Developed and maintained SQL queries and data workflows to clean, filter, update, and analyze health and social-service data across 30+ university, government, and community programs serving children, youth, and young adults throughout San Diego.
- Analyzed program outcome data to identify trends across measures such as school participation, public safety, service satisfaction, and other client outcomes, helping surface improvements of approximately 10% across selected performance indicators.
- Updated and validated Q4 2025–2026 reporting data in Excel, reconciling program results, checking data accuracy and completeness, and preparing reliable datasets for ongoing analysis and performance reporting.
About Me
I am a computer science practitioner with hands-on experience across software engineering, data engineering, AI evaluation, and technical support. My work focuses on building reliable Python and SQL-based systems for data processing, analytics, automation, and machine learning workflows.
I enjoy solving practical technical problems, from developing ETL pipelines and validation workflows to troubleshooting hardware, software, and customer-facing technology issues. My background combines academic research, applied projects, and real-world support experience, with a strong interest in backend data systems, cloud tools, AI-assisted workflows, and dependable software solutions.
Technical Skills
Think-A-Thon 2026
Participated in Viet Career’s Think-A-Thon 2026 to analyze Spotify's freemium model and propose product solutions.
- Researched Spotify's freemium model, AI personalization, user behavior, and competitive landscape.
- Proposed the AI Smart-Mix concept and evaluated feasibility, costs, and risks.
- Designed an A/B testing and measurement plan to track conversion, retention, and engagement.