Description: The portfolio of data scientist Cassandra Bayer. Learn about me and my work here.
This project does a deep dive of customers usage of an online retailer and responsiveness to an email campaign. The project also does a small design for an A/B to measure the efficacy of the campaign.
This project analyzes patterns of drivers and riders for a rideshare in NYC overtime. The analysis includes possible explanations for deviations and patterns, and seeks to find time-based patterns for rideship during 2017.
I created interactive web map that shows the aggressive trade off between affordable housing and commute times in the Bay area; the map is available here. The project relied on heavily on Python and R for data cleaning, analysis, science and visualization. A more detailed account of the workflow, methodology, and findings can be accessed below.