Netflix Churn Prediction
Developed Streamlit dashboard with churn prediction (99% accuracy) using Netflix subscriber data and feature engineering.
Pinterest Externship via ExternMaster's student in Data Science working on practical projects and gaining real-world experience as I prepare to start my career.
A portfolio of class and practical projects completed while pursuing a Master's in Data Science at the University of Washington.
Developed Streamlit dashboard with churn prediction (99% accuracy) using Netflix subscriber data and feature engineering.

Pinterest · ✅ Verified by Extern · ⏱️ In progress
A Pinterest externship researching Gen Z consumer behavior and producing an evidence-backed insight for an advertiser-facing pitch.
Master's student in Data Science working on practical projects and gaining real-world experience as I prepare to start my career.
I am Allison Peng, a Master's student in Data Science at the University of Washington. I have some practical work experience and I'm building toward a formal career in data science while finishing my graduate studies.
Externships
Pinterest - GenZ Consumer Behavior Externship
In progress
Experience
Data Science Intern
SoCal Edison · June 2026-August 2026
AI Prompt Engineer
Grid Money · September 2025-January 2026
Computer Vision Research Assistant
Sumner Lab · July 2022-June 2025
Software & Data Intern
Alaska Center for Energy and Power · June 2024-August 2024
Education
University of Washington | Seattle, WA
Master of Science in Data Science | GPA: 3.9/4.0 · Class of 2027
University of California, Davis | Davis, CA
Bachelor of Science in Statistics, Minor in Computer Science | GPA: 3.9/4.0 · Class of 2025
Skills
Developed Streamlit dashboard with churn prediction (99% accuracy) using Netflix subscriber data and feature engineering.
✅ Verified by Extern · ⏱️ In progress
A Pinterest externship researching Gen Z consumer behavior and producing an evidence-backed insight for an advertiser-facing pitch.
The project designed and deployed a Jobs-to-be-Done survey to Gen Z Pinterest users, collected responses from a recruited sample, and analyzed the results for unexpected patterns in platform use. The work synthesized survey findings into a single advertiser-ready insight and a recorded pitch.

I ran a short, focused research study that gathered survey responses from Gen Z Pinterest users, analyzed usage patterns, and packaged the findings into a concise insight for an advertiser pitch.