DATA SCIENCE · ANALYTICS · RESEARCH
I’m Andy Chen, a data science and analytics graduate student who uses statistical modeling, visualization, and practical analysis to make complex information useful.
I’m pursuing an M.S. in Data Science and Analytics at California State University, Chico, after earning a B.S. in Applied Statistics from California State University, Long Beach. My work connects careful data preparation with models and visual explanations that people can use.
From evaluating housing markets and economic indicators to improving business reporting, I enjoy following a question from messy data to a clear finding.
Research and analysis built around real questions, transparent methods, and useful results.
I combined housing prices from seven states with more than 10 economic indicators, then used several statistical models to study how economic conditions relate to housing markets. The analysis helped identify regional patterns and compare how different models captured those relationships.
I analyzed historical stock and cryptocurrency data to compare market trends, sector rotation, and relationships between assets. Charts and correlation analysis helped reveal investment patterns and made those relationships easier to explain.
Visuals are conceptual illustrations. Project details come from my resume.
Presentations from my undergraduate studies at California State University, Long Beach.
I used a generalized logit model in SAS and R to examine how temperature, precipitation, and wind relate to rain, sun, or snow in Seattle. In this small dataset, precipitation was the clearest indicator of rain, while minimum temperature helped distinguish snow.
View presentationI compared Intel, AMD, and Netflix stock data in R, estimated model parameters, and simulated Intel and AMD prices with an Ornstein–Uhlenbeck process. Intel and AMD log returns had a stronger correlation (0.46) than either had with Netflix (about 0.27).
View presentationTriple S Metals, Inc. · Livermore, CA
Analyzed 1,000+ inventory and sales records to identify operational trends and support business decisions.
Developed weekly reports and dashboards covering 10+ business metrics with cross-functional teams.
Validated 2,000+ records to improve reporting accuracy and data consistency.
Python · SQL · R
Statistical modeling · Machine learning · Predictive analytics
Data analysis · Visualization · Excel · Dashboards
California State University, Chico
California State University, Long Beach
Interested in working together or talking about a data opportunity? I’d be glad to connect.
Email me andychen910119@gmail.com