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Data Science & Analytics Consultant

December 2018 - May 2019


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.

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