Appriss Retail
Luke Du is a highly experienced Lead Data Engineer at Appriss Retail, with a career spanning multiple roles in data engineering and analysis since 2015. Expertise includes Azure technologies, Snowflake development, and advanced data parsing processes using various programming languages such as Python, C/C++, and SAS. Prior to Appriss Retail, Luke held positions as a Data Analyst at The Retail Equation and as a Statistician at Medtronic Diabetes, where contributions included statistical programming and data integration. Academic qualifications include a Ph.D. in Mechanical Engineering from the University of Iowa and a Ph.D. in Applied Mathematics from the Institute of System Sciences, CAS.
Appriss Retail
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Reduce risk. Remove friction. Reimagine your consumer experience. Leveraging more than 20 years of data science expertise, Appriss® Retail transforms ecommerce and omnichannel consumer interactions by providing real-time, actionable recommendations that reduce fraud, drive efficiency, and maximize profitability. The company’s AI-driven, SaaS platform generates analytical insights and recommendations by applying proprietary models developed from the collective intelligence of more than 75 billion aggregated transactions to a retailer’s own data. Appriss Retail serves a global base of leading specialty, apparel, department store, hard goods, big box, grocery, pharmacy, and hospitality businesses in more than 150,000 physical and online locations in 45 countries across six continents. For more information visit https://apprissretail.com.