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Matthew Diep
Data Science & Economics — UC Berkeley
Data Science & Economics — UC Berkeley
Data science and Economics student at UC Berkeley.
I'm currently a Data Platform Engineering Intern at Wind River!
A speech-driven AI learning coach that builds a personalized knowledge graph and guides you through the Feynman Technique — teach concepts out loud, get real-time feedback on gaps, and track your mastery visually across sessions.
Built a gamified student wallet with Next.js and MongoDB that turns budgeting into a game — hatch dinosaur goals, earn badges, and manage spending with Visa integration.
Built and evaluated churn prediction models using Python, logistic regression, random forests, and XGBoost on Waze user behavior data.
Performed EDA on 18,000+ US sales records and built a linear regression model to predict order quantity. Created time series visualizations and feature-engineered metrics like profit margin and delivery delay.
Built analytical SQL views and queries to generate insights from a sales database.
Click to see all of my Tableau visualizations.
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You can download my resume using the button below:
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