Johnson Poh heads the data science practice for Big Data Analytics at DBS Bank where he drives the development of core data science capabilities for enhancing decision analysis. He concurrently holds an adjunct faculty appointment at SMU School of Information Systems and his focus areas include applied statistical computing, machine learning as well as big data tools and techniques. His past industry experience spans across consulting and government sectors, serving as Head of Data Science/Principal Data Scientist in Booz Allen Hamilton and Ministry of Defence respectively.
An avid programmer and data enthusiast, Johnson enjoys developing apps and data products. Most recently, he was awarded first prize in Singapore’s largest coding competition, Hackathon@SG 2015 as well as the CapitaLand Data Challenge 2016.
Johnson completed his bachelor’s degree at University of California, Berkeley, majoring in the subjects of Pure Mathematics, Statistics and Economics. He received his postgraduate degree in Statistics at Yale University.
Workshop: Programming in R
Take your skills to the next level by learning the basics of R.
Career Fast Track: Opportunities In Data Analytics & Data Science
In this special edition of the Career Fast Track events, we will cover the steps that you need to take to break into the Data community.