Procter & Gamble

Data Analytics Intern
2018

• Developed self-service post-event analytics tool for Meijer, completely automating data collection and manipulation process in Python and Knime and designing an interactive user dashboard in Spotfire, saving $200,000 annually by allowing non-technical employees to perform post-event analytics
• Explored classification and regression machine learning models in Python to create tool analyzing attribute importance in correspondence with promotional success across stores, constructing company’s 1st scalable solution for store-level trade spend data and laying groundwork for millions in optimizations
• Presented tools to Target and Meijer representatives, providing merchandising and targeting recommendations with ~$1.6 million in potential incremental sales