About the Authors
Hui Lin is leading and building data science department at Netlify. Before Netlify, she was a Data Scientist at DuPont. She was a leader in the company of applying advanced data science to enhance Marketing and Sales Effectiveness. She provided data science leadership for a broad range of predictive analytics and market research analysis from 2013 to 2018. She is the co-founder of Central Iowa R User Group, blogger of scientistcafe.com and 2018 Program Chair of ASA Statistics in Marketing Section. She enjoys making analytics accessible to a broad audience and teaches tutorials and workshops for practitioners on data science (https://course2019.netlify.com/). She holds MS and Ph.D in statistics from Iowa State University.
Ming Li is currently a Senior Data Scientist at Amazon and an Adjunct Faculty of Department of Marketing and Business Analytics in Texas A&M University - Commerce. He is the Chair of Quality & Productivity Section of ASA for 2017. He was a Data Scientist at Walmart and a Statistical Leader at General Electric Global Research Center. He obtained his Ph.D. in Statistics from Iowa State University at 2010. With deep statistics background and a few years’ experience in data science, he has trained and mentored numerous junior data scientist with different background such as statistician, programmer, software developer, database administrator and business analyst. He is also an Instructor of Amazon’s internal Machine Learning University and was one of the key founding member of Walmart’s Analytics Rotational Program which bridges the skill gaps between new hires and productive data scientists.