As part of my MSBA capstone at the University of Notre Dame, I worked with Better World Books to build a data analytics system that helps uncover trends, evaluate promotions, and support strategic decisions.
What I Built
- Processed and organized over 2 years of multi-platform sales and promotions data
- Used Prophet to create reliable forecasts of revenue trends and seasonal patterns
- Built an analytics page that lets users interact with key metrics, filter by platform or promotion type, and explore the impact of marketing decisions
- Included weekly rankings of the most effective promotion strategies by profit
Skills & Tools Used
Python | SQL | PostgreSQL | Prophet | Streamlit | Altair | Data Cleaning | Forecasting
Key Outcomes
- Enabled the business to quickly identify which promotions performed best
- Made future revenue trends more visible with Prophet forecasts
- Empowered users to experiment with filters and views to answer their own business questions
This project has been a great opportunity to apply data science to a real-world business challenge and build something decision-makers can actually use.
Big thanks to Paul and the Better World Books analytics team for their guidance!
