Data-driven recommendations for Lyft Bay Wheel in-app offers using BigQuery.
The notebook contains the process of answering business-driven questions (exploratory data analysis, BigQuery queries) and actionable recommendations for in-app offers on Lyft. The data-driven recommendations target new and existing Lyft users who commute in the Bay Area and aim to increase Lyft Bay Wheel ridership through in-app offers. The data is taken from the San Francisco bikeshare public dataset on the Google Cloud Platform (GCP).
Use this nbviewer webpage to render the interactive Folium map in the notebook.