Hannah Pham

M.S. Data Science @ UCSD · Healthcare Analytics @ Exodus Recovery · Econometrics @ UCLA

Giving a voice to data. I leverage 2.5 years of production healthcare analytics and MS-level machine learning research to turn messy real-world data into actionable strategies.

ABOUT ME

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2.5 Years
Production healthcare analytics at Exodus Recovery.
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2 Labs
Concurrent research at CDL and Wu Tsai Hub.
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6 Projects
Spanning NLP, LLMs, forecasting, and computer vision.
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1 Goal
Turning messy real-world data into decisions that matter.

Languages & SQL

PythonRSQL

ML & Modeling

PandasNumPyScikit-LearnPyTorchHuggingFaceLoRA/PEFT

Tools & Infrastructure

TableauGitHub

RECENT PROJECTS

PeerMind

Developed PeerMind, an automated meta-review and decision-generation framework using fine-tuned Pegasus-X, FLAN-T5, and BART architectures. Applied LoRA via PEFT to optimize parameter-efficient training, achieving an 84.8% decision-alignment accuracy using open-source OpenReview API datasets.

ClaimWise AI

Built an AI assistant using Google Cloud, BigQuery Vector Search, and Gemini to automate insurance reviews. Achieved 95%+ fraud detection accuracy through multimodal photo embeddings and slashed claim processing times from hours to seconds.

HACKATHONS

  • DataHacks 2026

  • LPL University Hackathon

My philosophy:

"When you do what you love, you will never work a day in your life"
Marc Anthony