Presented By O'Reilly and Cloudera
Make Data Work
Dec 4–5, 2017: Training
Dec 5–7, 2017: Tutorials & Conference
Singapore
Eric Tham

Eric Tham
Associate Lecturer, National University of Singapore

Website | @erictham

Eric Tham is an associate lecturer at the National University of Singapore. Previously, he was an enterprise data scientist at Thomson Reuters, led the quantitative data science team in a Chinese fintech startup with five million users, and worked in the financial industry in risk management, quantitative development, and energy economics with banks and oil companies. Over his career, he has developed sentiment indices from social media data and is an expert in unstructured data analysis, NLP, and machine learning in financial applications. He is a frequent speaker at conferences and contributed a chapter to the Handbook of Sentiment Analysis in Finance.

Sessions

2:35pm3:15pm Wednesday, December 6, 2017
Eric Tham (National University of Singapore), Radha Pendyala (Thomson Reuters)
Average rating: *****
(5.00, 1 rating)
Graphical techniques are increasingly being used for big data. These techniques can be broadly classified into the three C's: centrality, clustering, and connectedness. Eric Tham explains how these concepts are applied to supply chain analysis and financial portfolio management. Read more.