Hello, I am Hannah!

M.S. Candidate Data Science @ UCSD | Econometrics @ UCLA

ABOUT ME

I combine 2.5 years of production analytics experience, MS-level machine learning training,and hands-on team leadership to build models that people actually use.

B.A. Econometrics — UCLA

2022

Bachelor of Arts in Econometrics and Quantitative Economics. Built a foundation in statistical modeling and causal inference that still shapes how I approach every project today.

Data Analyst I & II — Exodus Recovery

2023 – 2025

Built SQL ETL pipelines and clinical dashboards across 4 counties, supporting data-driven decisions for 2,000+ clients in behavioral health care.

M.S. Data Science — UC San Diego

2025 – 2027

Deepening my technical range in ML, NLP, deep learning, and causal inference, with research appointments at the Wu Tsai Human Performance Alliance and the Cognitive Development Laboratory.

Student Visitor Experience Specialist — Rady School of Management

2025 – Present

Leveraging Salesforce CRM data to support graduate enrollment strategy, and spearheading a new predictive modeling initiative on deposit-to-enrollment ("melt") risk.

Seeking Full-Time Data Scientist Roles

Now

Applying an econometrics-trained lens to business and consumer behavior problems, including data science, ML engineering, health tech, and fintech.

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.

ClaimWise AI

Built an AI assistant using Google Cloud, BigQuery Vector Search, and Gemini to automate insurance reviews.

Causal Effect of Depression on Cancer Treatment Adherence

Estimated depression's causal effect on medication adherence in 4,187 breast cancer patients using All of Us EHR data

HACKATHONS

  • DataHacks 2026

  • Second Annual NSF HDR and UCSD SMASH Hackathon

  • LPL University Hackathon

My Why...

I've been obsessed with Sherlock Holmes since I was a kid. I think what I actually loved was the idea that if you look carefully enough, the data tells you everything. Turns out that's just data science with better outfits