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

Radha Pendyala
Data Scientist, Thomson Reuters

Radha works as an Enterprise Data Scientist at Thomson Reuters. His work involves applying machine learning and quantitative financial modeling techniques to large datasets in order
to solve specific problems in the financial sector. Prior to Reuters, he has worked as a
portfolio manager at Goldman Sachs Asset Management. He has more than a decade of
experience in building financial and statistical models.
Radha has obtained his masters in financial engineering degree from City University of
New York, a post graduate degree in management from Indian Institute of Management,
Indore and a B.Tech in Civil Engineering from Indian Institute of Technology, Madras.

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.