Save A Lot
Lewis Tribble is an accomplished data and machine learning professional with extensive experience in architecture, predictive analytics, and enterprise solutions. Currently serving as Lead Machine Learning Engineer at Save-A-Lot since April 2017, Tribble focuses on developing robust predictive models for various analytics applications. Previous roles include Enterprise Data Architect at Bloom Consulting Group, where pivotal cloud applications were architected for business intelligence, and Principal Enterprise Data Architect at Microsoft, where strategic leadership was provided for customer data mastery. Tribble's career also includes significant contributions at MasterCard as an Enterprise Architect, pioneering an Enterprise Architecture discipline, and founding Allegro Software LLC, which delivered custom software solutions. Educational qualifications include a BS in Computer Science and a BA in Mathematics from The University of Kansas.
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Save A Lot
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Save-A-Lot stores bring discount groceries to neighborhoods across the US. In fact, there are more than 1,300 Save-a-Lot stores nationwide in urban, suburban and rural areas. They aspire to be the hard discount retailer of choice for value-seeking shoppers. As a hard discount retailer, they deliver their customers terrific savings on discountgroceries, up to 40% compared to conventional grocery stores.From Maine to California, Save-A-Lot stores serve more than 5 million shoppers each week. Customers enjoy grocery store savings on exclusive Save-A-Lot brands and national brands, plus USDA-inspected beef, pork and poultry, farm-fresh fruits and vegetables and non-food items.