Jennifer M. Wang, Ph.D.

Product Data Scientist


Hi, I'm Jenn! ❥

I'm a Product Data Scientistworking at the intersection of analytics, UX, machine learning, and full-stack product management.

I LOVE 🖤 using data + statistics 📊 to tell compelling stories. I enjoy translating messy data into clear, actionable insights for all audiences.

My unique background combines a Ph.D. in Quantitative Psychology (minor: Statistics) with hands-on experience at high-growth startups and established tech companies.

Jennifer Wang Profile Photo

Projects

Self-Compassion AI™ LLM Application
🤗 LLM + Streamlit
Interactive web app • view live →
BookBub Recommendations
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ML Algorithms
23% user acquisition ↑
Dashboard
📈 Dashboard • view live →
Cape Analytics Scaling
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CV + ML
1,000% capacity ↑
Data Infrastructure & Pipelines
Architecture Diagram
PostgreSQL • Python • ETL
400% throughput increase
Cruise ML Infrastructure
Infrastructure
MLOps
50% cost reduction
Hopelab UX Analytics
Analytics Dashboard
UX Data
Mental health tech insights
Experimentation & Statistical Analysis
Statistical Charts
📊 A/B Testing • Statistics
Product optimization • Rigorous analysis
🎵 MusiPy
Music Recommendation App
Flask
Machine Learning • Web App
Academic Research
Research Paper
Ph.D. Psychology
Quantitative methods • Columbia

Technical Expertise

Analytics & Statistics

A/B Testing Statistical Analysis Looker Tableau Experimentation

Programming & Data

Python SQL PostgreSQL BigQuery R

Machine Learning

scikit-learn Computer Vision NLP LLM Deep Learning

UX Research & Design

Figma User Analytics Survey Design Behavioral Analysis Product Metrics Quantitative UX

Technical Product Management

Product Strategy Roadmap Planning Cross-functional Leadership Stakeholder Management Technical Strategy

Infrastructure & Cloud

dbt Airflow Docker AWS GCP Snowflake

Selected Publications

  • Representative Publications

  • See Google Scholar Profile for a more comprehensive publication list.


  • Podcast

  • I'm a podcast host on New Books Network 📚


  • Get In Touch

    📧 I'm always interested in discussing data science opportunities, challenging problems, or potential collaborations! Please feel free to contact me if you'd like to connect!