Responsibilities
Perform analysis and deliver data science solutions for client.
Used Python to integrate historical data finance data and POS-generated sales data, conduct descriptive and diagnostic analyses, build predictive models and conduct prescriptive analyses.
Created interactive visualizations based on key metrics, allowing executive chefs and owners to identify seasonal trends; identify customer types and correctly target preferred meals and payment options; track inventory, predict inventory demands, reduce wasted food; predict and reduce waiting time; and analyze employee performance by examining wait time, tips, number of tables, and number of patrons.
Collaborated with executive owners on the data visualization and predictive analytics utilized above as they created a third party POS add-on software program to enhance dynamics of reporting and analytics for independent restaurants.