Experience

Professional work experience.

Innovius Capital

Data Science Intern
Sep 2026 – Present

  • Automated a classification pipeline to scrape and analyze company websites
  • Classifier determined strategic alignment with Innovius investment strategy
  • Optimized an LLM and rule-based ensemble model leveraging text anchors
  • Achieved 72% precision, 91% recall, and 70% accuracy on ground-truth labeled data set
  • Containerized and deployed outputs on AWS, utilizing Amazon S3 for scalable storage
Python AWS LLMs
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Popcorn.co

Data Analytics / Data Engineering Intern
Jun 2025 – Sep 2025

  • Architected and deployed a customer data platform to surface actionable product KPIs
  • Led cohort, funnel, retention, and conversion analyses to identify high-value functionality
  • Built tracking functions across frontend and backend systems processing 600k+ API calls
  • Ensured end-to-end data pipeline integrity by locating and resolving discrepancies
  • Collaborated with engineers and product managers on data-driven UI decisions
  • Applied prompt engineering techniques to train the AI moviemaking agent
Python TypeScript Figma Amplitude Cursor
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DTEX Systems

Data Science Intern
Jun 2024 – Aug 2024

  • Developed anomaly detection methods across datasets with 10M+ observations
  • Applied NLP and clustering techniques to extract structure from window-title strings
  • Built preprocessing pipelines critical for multidimensional behavioral analysis
  • Focused on interpretability and actionable insights in a cybersecurity context
Python NLP Clustering Machine Learning
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Associated Students, UCLA

Distribution Specialist
Aug 2023 – Jun 2024

  • Coordinated distribution of equipment to student organizations and campus partners
  • Worked closely with team members to ensure efficient operations and logistics
  • Developed communication and organizational skills in a fast-paced environment
Operations Teamwork Organization
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