Presented By O'Reilly and Cloudera
Make Data Work
December 1–3, 2015 • Singapore

Whye Loon Tung
Senior Manager, Nielsen


Whye Loon comes from a computing background, and received his bachelor degree in Computer Engineering and doctoral degree in Computational Intelligence from the Nanyang Technological University (NTU) in 2000 and 2004, respectively. He started his career in the academia, honing his research skills as a postdoctoral researcher with two fellowships from the Singapore Millennium Foundation and the Lee Kuan Yew Endowment Fund in the School of Computer Engineering (SCE) in NTU, before moving on to a teaching role in SCE in 2009. His research interests include brain-inspired computing, computational intelligence, machine learning algorithms, and data mining and analytics. Driven by the urge to explore areas beyond his primary research domains and also a staunch believer of bringing pure research to application, Whye Loon waddled into the field of computational finance and subsequently read a Master of Science in Financial Engineering degree from the Risk Management Institute, National University of Singapore, in 2010. Looking to expand his horizon beyond pure research, he joined Hewlett-Packard Labs (Singapore) in 2011 to work on smart technologies for the future cities, before being enticed by the interesting possibilities in the market research industry. Whye Loon is currently a Senior Manager with the Singapore DataScience innovation hub in The Nielsen Company, and working with a brilliant group of colleagues on challenging problems with significant business implications.


2:20pm–3:00pm Thursday, 12/03/2015
Data Science and Advanced Analytics
Location: 321-322 Level: Non-technical
Tags: geo
Whye Loon Tung (Nielsen)
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Geospatial data is revolutionising the marketing research industry. In this talk, Nielsen researchers will describe how such information is being used by the company to improve internal processes and to give new insights into client behaviour. The goal is to give clients an analytic edge, as will be illustrated through key methodology and insights of recent projects. Read more.