Feminist out of Seattle looking at behavior through the lens of data science
It gets a lot harder to do fun data science projects when you become a data scientist, but this annual analysis is one of my favorites. It's a lot of hard work, but the outcomes are worth all the effort. If you haven't looked at one of these posts before, I've been analyzing monthly emails …
Earlier this month I had the pleasure of competing alongside a few of my classmates at the Wake Forest Marketing Analytics Summit. Our challenge? To create a solution to attract, retain and grow analytics talent among millennials for CVS. While we didn't place, we immediately saw the implementation of one of our solutions: From kaggle.com As …
Continue reading "CVS Health: Digital Rebranding for Analytics"
For my marketing analytics class, my group looked to see if we could create the optimal speed dating solution using data from the Columbia Business School that we found on Kaggle. The Data Data was collected through a speed dating experiment conducted by Columbia professors, Ray Fisman and Sheena Iyengar. The data was collected from 2002-2004 …
Continue reading "Creating the Optimal Speed Dating Solution"
