Netflix Churn Prediction
Developed Streamlit dashboard with churn prediction (99% accuracy) using Netflix subscriber data and feature engineering.
Master'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.
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.
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.