Data Soup

This blog is a about working with data. The data science world is a jumble of models, math, and code. The data soup. We won’t be navigating this kind of soup here.

We establish a different kind of soup: one that nourishes. We’ll dive into topics where come away with insights. We can be better prepared to choose the right technique, the right model, or the the right decision.

Academic papers

I was previously in academics where papers were important. For posterity, and because there is nowhere else to put them, my academic papers are below. You can check out my Google Scholar as well.

• Assortment Optimization under Variants of the Nested Logit Model

• Assortment Planning under the Multinomial Logit Model with Totally Unimodular Constraint Structures

• A 3/2-Approximation Algorithm for Some Minimum-Cost Graph Problems

• Assortment Optimization Over Time

• Pricing Problems under the Nested Logit Model with a Quality Consistency Constraint

• Revenue Management under a Nonparametric Ranking Based Choice Model

• Combinatorial Algorithms for Minimizing the Weighted Sum of Completion Times on a Single Machine