Gabe joined Datascope Analytics as a data scientist in 2013. Prior to Datascope, Gabe developed a recommender system for SimpleRelevance, which allows e-commerce websites to personalize their marketing. Besides figuring out the right problem to solve (and solving it), Gabe also does and teaches math as a founding teacher of the Payton City-Wide Math Circle. As a math wiz at the University of Chicago (with honor's, class of 2009), Gabe solved a $100 problem posed by Paul Sally. In his spare time Gabe tastes food, looks at art, and thinks about clocks.
Kaggle and Data Science
Reflections on data science after a “data science” competition
Motorola Mobility Follows the Data to Engineer Better Smartphones
A custom built tool aggregates and algorithmically analyzes smartphone customer feedback data from a broad spectrum of internet sources
Divvy Traffic Patterns
How does traffic change over a few blocks?
Design Choices: Visualizing Biking in Chicago
How to picture where people go
about our culture
Caricature of a small tech org chart
We're not big, but we are certainly collaborative!
Getting Things Done the Datascope Way
The Post-it Note Method
Pair programming: when are two better than one?
(a) Developing reusable software. (b) During crunch-time. (c) Training colleagues. (d) All of the above.
Building a data science team
A data science team is more than a room full of nerds
The marketplace is rapidly changing in response to the flood of big data. Learn about the new market for analytics.
Many organizations do not have the internal talent to tap big data. Learn about data-driven consulting and design.