
Hello, and welcome to my website. My name is Matthew Huh, a data scientist with 5+ years of experience using Python, SQL, Tableau, and machine learning, primarily for finance, fraud, and product analytics at Microsoft, Capital One, and Mt Adams Fruit. My expertise lies in both providing an excellent customer experience through product analytics, but also protecting the business from bad actors.
The purpose of this site is to showcase any work that doesn't neatly fit into my resume, and highlight relevant projects from my Github.
Note: Streamlit apps may take a few seconds to load
Overview: Broad overview of U.S. energy consumption/production from 1946–2016 with trend extrapolations.
Skills: Data exploration, visualization, regression.
Overview: Factors predicting campaign success using feature engineering and ML models.
Skills: Feature engineering, classification, ML models.
Overview: Using NLP to differentiate publications via clustering and classifiers.
Skills: NLP, clustering, machine learning.
Overview: Analyzing airline perception using Twitter mentions and NLP models.
Skills: API usage, NLP, classification.
Overview: Predict likelihood of cancer based on health factors.
Overview: Choosing valid A/B tests across sample groups with ESS data.
Overview: Feature-driven price estimation.
Overview: Market structure and host dynamics.
Overview: App categories and user sentiment.
Overview: Prioritization heuristics for collections.