Hannah Pham
Product Data Scientist | M.S. Data Science @ UCSD
A/B Testing, Causal Inference, ML | Former Data Analyst II
Product-focused data scientist leveraging econometrics, experimentation, and machine learning to transform user behavior data into product insights and decisions.
ABOUT ME
Bridging Data & Behavior: I am a Data Scientist with a background in Behavioral Economics, specializing in converting complex user patterns into actionable product strategies.
Product Science Focus: I focus on the intersection of causal inference, experimentation (A/B testing), and machine learning to understand not just what users do, but why they do it.
End-to-End Execution: From architecting data pipelines in SQL/Python to deploying predictive models on AWS/GCP, I build scalable solutions that drive measurable growth.
The Goal: I help product teams move beyond descriptive analytics to predictive insights, optimizing user retention and experience through data-driven discovery.
Languages & SQL
Analysis & ML
Infrastructure & Design
ML & QUANTITATIVE MODELING PROJECTS
Meta Review Generation
Building AI-powered meta-review and accept/reject decision support using Python and LLM models
Multimodel Fraud Detection
Building Multimodal Fraud Detection model using Python and BigQuery AI
BI AND DATA ANALYTIC PROJECTS
Sprocket Central
Analyze customers demographic and transaction data to identify high value customers' segments
Hiking Trails Analysis
Visualize data of hiking trails in Columbia Park. Provided personalized dashboard to help hikers find their trails.
BLOGS
Coming soon
My philosophy:
"When you do what you love, you will never work a day in your life"
Marc Anthony