Data engineering · Geospatial storytelling
Climate risk & housing
Explore how county housing markets relate to climate risk—and what changes around extreme weather events.
PythonDuckDBD3
Read the case study →Open interactive story ↗Kenneth Low
Kenneth Low / Data science portfolio
Messy world.
Good questions.
Let’s explore.
I’m Kenneth, a data scientist drawn to the places, people, and systems behind the numbers.
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
Selected work / 01—03
Three questions worth digging into.
Interactive research, reproducible pipelines, and experiments with the details left in.
Data preparation · Exploratory analysis
Patterns of U.S. migration
Bring migration flows, county characteristics, and climate data together to investigate where people move.
PythonPublic dataCounty maps
Read the case study →Open research website ↗Machine learning · Experimental design
Neural recommender systems
Compare architectures, tuning methods, and optimizers under a shared training and resource budget.
PyTorchGraph learningOptimization
Read the case study →Explore the repository ↗Away from the keyboard
A few other kinds of exploration.
Running a D&D campaign. Finding a trail. Working out a guitar part. Trying something new in the kitchen. Different settings, same curiosity.