At Coca-Cola Consolidated Inc., I used machine learning and quantitative analysis to forecast trends and help leadership allocate resources across departments. I also developed interactive reporting tools and an automated platform for delivering customized reports.
I built a cloud-native Snowflake demand forecasting pipeline using Ray to parallelize forecasts across location-product combinations. It was designed to scale from 8 pilot locations to 700+ while adding automated deployment, monitoring, and retry logic.
I architected a network routing optimization system that modeled delivery routes and supported cost, profit, and volume scenarios. Its what-if analysis capabilities helped guide network planning, investment decisions, and route evaluation.
I also engineered a coordinate-based document extraction pipeline and built a Python ETL framework integrating five UKG API endpoints with Azure Blob Storage and Snowflake. Earlier, as a Booking Agent at Intrepid Artists Int., I negotiated contracts, budgets, and tour logistics.
