Hui Lin

coffee to code; silence to music

About Me

I was a statistician for 4 years and data scientist for 5 years. Since I joined a cool startup named Netlify in May 2018, I have been trying to figure out who I am.

I love to code in R. Also use Python. My pet peeve is to hear people say R is not as good as Python because it is slower. I am not an Apple fan but do prefer Mac. I am addicted to reading. I love data science. I like drawing, traveling, collecting jokes and anything beautiful. However, my interest in sport is not any higher than fish’s interest in driving Tesla.

I was born in China, moved to the US, and now live in the San Francisco Bay area. My favorite state is IOWA (yes, you read it right)!

Working and Research Experience


Data Science

May.2018 - present

I am building the data science department @Netlify from scratch.

  • Build up and lead a data science team with data engineer, data analyst, and data scientist. Be the face of Data Science at Netlify and present at conferences.
  • Build data pipeline to centralize large scale of user-generated data (Data Lake) in a big data cloud environment using Hadoop and Spark. Design and build the Data Mart for business users.
  • Partner with our platform team to build data infrastructure necessary to facilitate efficient analysis and reporting.
  • Define and lead the development of foundational growth enablers, including user conversion model, funnel engagement analysis, user lifetime value estimation, marketing attribution etc.
  • Partner with the executive team on how to apply data science to our most challenging strategic questions.


Data Sciencist

Sep.2017 - Apr.2018

  • Provide data science leadership for a broad range of analytics in North America Marketing
    1. Predictive Analytics
    2. Marketing programs analysis under the observational scenario
  • Lead the project of building marketing data pipeline
    1. Build marketing database in the cloud
    2. Automate models and dashboard that track business performance
    3. Social media analytics

DuPont Pioneer

Data Sciencist

May.2013 - Aug.2017

  • Provide data science leadership for a broad range of analytics in North America Marketing focused on improving Sales and Marketing productivity
  • Analyze market research survey data using psychometric models and natural language processing; quantitatively study customer perception and identify variables that are predictive of patterns and/or are leading indicators

Iowa State University

Consultant and Statistician

Sep.2009 - Apr.2013

  • Jun.2012 - Apr.2013, Statistical Consulting for Business College
  • Sep.2009 - Apr.2013, Statistician, Production Animal Disease Risk Assessment Program
  • Aug.2011 - May.2012, Consultant, General University Statistical Consulting and Statistics Consulting for College of Veterinary Medicine


Machine Learning using R

Published in Oct 2017

  • Book Link
  • ISBN 9787121326585
  • Publishing House of Electronics industry

Introduction to Data Science

2019 Dec 31 (Expected)

Book Translation

Applied Predictive Modeling

Published in May 2016

  • Book Link
  • English version by Max Kuhn and Kjell Johnson
  • Translated chapters 1-4, 12-14, 16, 18-20
  • Huazhang Publishing Inc.

R for Marketing Research and Analytics

Published in Oct 2016

  • Book Link
  • English version by Chris Chapman and Elea McDonnell Feit
  • Translated the book
  • Huazhang Publishing Inc.

Statistical Rethinking - A Bayesian Course with Examples in R and Stan

Published in Apr 2019

  • Book Link
  • English version by Richard McElreath
  • Translated the book
  • Huazhang Publishing Inc.