Hui Lin is currently a Lead Quantitative Researcher at Shopify. She holds MS and Ph.D. in statistics from Iowa State University. Hui had experience across different industries (traditional and high-tech). She worked as a marketing data scientist at DuPont; the first data hire at Netlify to build a data science team, and a quantitative UX researcher at Google. She is the blogger of https://scientistcafe.com/ and the 2023 Chair of Statistics in Marketing Section of American Statistical Association. Ming Li is a Director of Data Science at PetSmart and an Adjunct Instructor of the University of Washington. He was the Chair of Quality & Productivity Section of the American Statistical Association for 2017. He was a Research Science Manager at Amazon, 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 scientists with different backgrounds such as statisticians, programmers, software developers, and business analysts. He was also an instructor of Amazon’s internal Machine Learning University and was one of the key founding members of Walmart’s Analytics Rotational Program.
"""If you want to use Data Science to have a practical impact on businesses (either as a current employee or someone looking to build a career here), this book is an amazing way to get started. ""Data Science Practitioner's Guide to Data Science"" offers a refreshing perspective. It emphasizes practical skills and real-world problem-solving over theoretical knowledge. This guide covers everything from technical and soft skills, including project management and communication. If you want to elevate your skills and make a meaningful impact, I highly recommend this book."" - Mike Clarke, Director of Product Management, Shopify"