I’m Ken, a data science enthusiast who loves understanding systems, solving problems, and sharing findings with other people.
From climate risk and housing to migration and machine learning, I turn complicated data into something you can investigate.
M.S. in Data Science, in progress · CU Boulder
Reproducible pipelines + Grounded methods = Meaningful research
Data engineering · Geospatial storytelling
Follow county housing trends through climate-risk groups and extreme events, then explore a county Climate Playbook.
Geospatial analysis · Machine learning
Explore domestic inflows, outflows, and net migration through a county flow atlas, clustering, PCA, and retrospective classification.
Machine learning · Experimental design
Compare six neural architectures, three tuning methods, and four optimizers on MovieLens and an author-collaboration graph under shared budgets.
Predictive modeling · Panel analysis
Study county home values with a 30-predictor Extra Trees model, geographic validation, within-county associations, and an interactive atlas.
Away from the keyboard
Creating scenes in Improv. Discovering a trail. Running a D&D Campaign. Working out a guitar part. Different settings, same curiosity.