About

Lei Han is a highly skilled Senior Analyst at McKinsey & Company with a focus on Data Science and Analytics. With almost 5 years of relevant experience, Lei has a proven track record of delivering high-quality results in a fast-paced and challenging environment. Lei's expertise in Data Science and Analytics has been honed through his work at McKinsey, where he has held the position of Analytics Fellow and currently serves as a Senior Analyst. In these roles, Lei has developed a deep understanding of the business landscape and has been able to use his technical skills to provide clients with valuable insights and recommendations. Prior to joining McKinsey, Lei worked as a Business Intelligence Intern at Wayfair, where he was responsible for building an analytical reporting tool on Design Services that consisted of 46 metrics and 35 filters. He also performed data engineering and SQL coding to process data from over 40 raw sources, defined downstream data structure, and created final output via Microsoft SQL Server Analytics Services. Lei's work at Wayfair also included developing a prediction model on Registry demands based on empirical analysis and decision tree algorithms, which reduced prediction error by 60% and automatized the procedure to run monthly. Lei's educational background is also impressive, having earned a Master of Engineering Management degree from Dartmouth College and a Bachelor of Engineering degree from Tsinghua University. He also spent a year as an exchange student at the Technical University of Denmark. Lei's technical skills include Data Science, SQL, and Data Engineering, which he has used to support analytical needs on Registry by adding six reporting features and conducting two ad-hoc analyses. His ability to work with complex data sets and derive meaningful insights has made him a valuable asset to any team. Overall, Lei Han is an accomplished Senior Analyst with a strong background in Data Science and Analytics. His technical expertise, combined with his business acumen, has made him a valuable asset to both McKinsey and Wayfair.