Data Science Seminar Date: Friday, 27 October 2023 Time: 2:00 PM Venue: Lecture Hall 202 Applications of Data Science and Analytics in the Airline Industry Ben Dias EasyJet airlines, UK. 27-10-23 Abstract The talk will start with an introduction to the distinctive characteristics of the Airline industry, compared to other industries. Followed by a discussion on how applying Data Science and Analytics can help Airlines, such as easyJet, better navigate the key challenges they face, identifying the types of algorithms and/or analyses that apply to the different business problems. The talk will showcase real-world example use case of applying Data Science to deliver business value at easyJet. Ben is currently leading the delivery of easyJet's Data strategy aimed at realizing the company’s ambition of becoming the world's leading data driven airline. Previously having worked at Royal Mail, Tesco and Unilever, he has over 15 years' industry experience in solving real-world problems in an industry setting. More recently, Ben has focused on building and leading Data Science teams and applying the Lean Start-Up approach to Data Science within large organizations. He has experience in setting up and managing industrial research collaborations with academic and business partners. He is also actively engaged with the UK Mathematics community and very enthusiastic about inspiring the next generation of Mathematicians and Data professionals. He serves as an Advisory Board Member on ‘Academy for the Mathematical Sciences. Ben holds a PhD in Computer Vision and a Masters in Mathematics and Astronomy, both from UCL.
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