Get a behind the scenes look at how leading data scientists land their dream roles and how their journey can lead to unexpected but interesting outcomes.

Our host and data science guru Michael Li spoke with Peter Yu about his data path, what led him to data science and what he learned along the way from being a 2015 TDI alum to working for McKinsey & Company to now working for Amazon Web Services (AWS).

About our Host:

tianhuilTianhui Michael Li
Founder at The Data Incubator and President for data at Pragmatic Institute
Michael Li is the founder and president of The Data Incubator.  Michael bootstrapped the company and navigated it to a successful sale to the Pragmatic Institute.  Previously, he headed monetization data science at Foursquare and has worked at Google, Andreessen Horowitz, J.P. Morgan, and D.E. Shaw.  He is a regular contributor to Wall Street Journal,  Tech Crunch,  WiredFast CompanyHarvard Business ReviewMIT Sloan Management ReviewEntrepreneurVenture BeatTech Target and O’Reilly.  Michael was a postdoc at Cornell Tech, a PhD at Princeton, and a Marshall Scholar in Cambridge. 
You can follow him on social here: TwitterLinkedInGithub
About our Guest Speaker:
Peter Yu photoPeiran “Peter” Yu
Data Scientist at Amazon Web Services (AWS)
Peter is an experienced data scientist who has worked across several industries. Currently as a data scientist in the AWS Robotics and Autonomous Services team, he is leveraging state-of-the-art data science to make it easier to develop intelligent robotics applications at scale. Previously, he was a data science consultant at McKinsey & Company, leading teams and working with clients and senior management to create innovative data solutions to critical business problems. He also worked at Fresenius Medical Care where he used advanced analytics to impact patient care. Peter was a TDI fellow in the Fall 2015 cohort.
You can follow Peter on LinkedIn here.