Eyal Kazin is a Lead Data Scientist at Zimmer Biomet, global manufacturer of medical products and technologies. He is an ex-cosmologist turned data scientist with 20 years experience in solving challenging problems and a colleague of his once said that one of his strengths is “facilitating stakeholders to make data driven decisions”. His claim for fame is living in four different continents between the decade of 2004-2014, including three tennis Grand Slam cities: NYC, Melbourne, and London.
LinkedIn: https://www.linkedin.com/in/eyal-kazin
Medium Publications: https://eyal-kazin.medium.com
Selected articles:
🚪🚪🐐 Lessons in Decision Making from the Monty Hall Problem
https://bit.ly/mh-lessons
Introducing the problem and its history, various ways of solving, and discussing lessons learnt in data decision making.
🚅 Information Theory for People in a Hurry
https://bit.ly/info-theory-hurry
A series of intro articles on quantifying information and its applicability data analysis and machine learning.
➡️ Start Asking Your Data “Why?” — A Gentle Intro To Causality
https://bit.ly/start-ask-why-medium
An intro to causal thinking with links to follow up articles for making one's first steps.
Video diaries:
-blog post on concept: https://eyalkazin.wordpress.com/2014/07/06/video-diaries
-blog post about 2020 video "The Year We Stayed Home" including link to YouTube: https://elzurdo.github.io/2021/01/01/video_diary_2020.html
"Half a joke in the New York Times"
-Link to article, see under "one young employee offered an affectionate toast": https://www.nytimes.com/2017/03/06/us/politics/cambridge-analytica.html
-Full context in autobiography, see under SCL Group / Cambridge Analytica (2014-2018): https://elzurdo.github.io/autobiography/
Pivigo: pivigo.com
S2DS: s2ds.org