Eugene Zubanov
About Eugene Zubanov
Eugene Zubanov is a Machine Learning Scientist specializing in recommender systems at Expedia Group in London, with a background in data science and financial decision making.
Current Role at Expedia Group
Eugene Zubanov currently works at Expedia Group as a Machine Learning Scientist specializing in Recommender Systems. Since starting in 2021, he has been based in London, England. In this role, Eugene has developed property recommendation models that significantly improved the conversion rate on the Expedia homepage. He has also created bundle recommendation models that integrate multiple lines of business, enhancing user experience by suggesting properties and activities to travelers who have booked flights.
Previous Experience at Decathlon UK
Before joining Expedia Group, Eugene Zubanov worked at Decathlon UK as a Data Scientist from 2019 to 2021. During his two years at the company, he was based in London, United Kingdom, and contributed to various data-driven projects aimed at improving customer experience and operational efficiency.
Background in Data Science
Eugene Zubanov has extensive experience in the field of data science. Prior to his role at Decathlon UK, he worked at Product Madness as a Data Scientist from 2017 to 2019 and at Mediahub under the MullenLowe Group from 2015 to 2017, initially as a Data Analyst and later as a Senior Data Analyst. His career in data science began at Mediahub, where he developed analytical models and provided insights to support business decisions.
Academic Background
Eugene Zubanov's academic background includes a Master's Degree in Financial Decision Making with Applications and a Bachelor of Science (BSc) in Finance and Mathematics from the University of Essex. He also holds a Bachelor's degree in Management, Business Administration from Klaipedos Universitetas. His academic training has provided a strong foundation for his career in data science and machine learning.
Notable Contributions
Eugene Zubanov has made several notable contributions in his field. At Expedia Group, he optimized a recommender model's pipeline, achieving an 80% reduction in cloud costs while maintaining performance. He specializes in developing activity recommendation models that enhance user engagement by suggesting activities to travelers who have booked accommodations or flights, thereby improving overall user satisfaction.