SIGKDD Singapore & ING Bank are jointly organizing this seminar delivered by A/Prof Carol Hargreaves, Director of the Data Analytics Consulting Centre at the National University of Singapore. The event will be opened by Annerie Vreugdenhil, Head of Innovation, ING Wholesale Banking.
Venue: ING Bank, Spark @ Level 12, 1 Wallich Street, Guoco Tower,[masked]
Date/Time: Monday 1 April 2019, beginning with light reception at 6pm
Title: Using Machine Learning Techniques to Identify Top Stocks
Abstract: Interested in what goes into building an automated stock investment system? Using machine learning techniques of both unsupervised and supervised varieties, one can mine troves of data to discover statistical patterns towards identifying top stocks to trade. Demonstrated on a case study, we will see how the learned models perform upon paper trading, comparing the stock portfolio performance to that of the stock market index.
Speaker: A/Prof Carol Hargreaves is the Director of the Data Analytics Consulting Centre at the National University of Singapore. Prof Hargreaves has a joint position in the Department of Mathematics & the Department of Statistics & Applied Probability. Her role includes providing data analytics advisory & consulting services to industry, designing and teaching data analytics executive training courses for industry professionals, and is a noted keynote conference speaker and moderator.
Prof Hargreaves has a passion for solving business problems using analytics and machine learning techniques to build data driven solutions for growth and effective decision-making. She aims to provide her clients with organic revenue growth, allowing business processes to become smarter and faster while keeping customers engaged.
Prof Hargreaves is an analytics and business intelligence professional with over 30 years analytics experience, with leading roles in the pharmaceutical, healthcare & fast moving consumer goods and education industries. Prof Hargreaves has worked with a variety of leading companies to make businesses more intelligent. These include Pfizer, Novartis, Merck Sharp & Dohme, Nestle, MasterFoods, Goodman Fielder, Foxtel, Aztec (IRI), Cegedim Strategic Data (Quintiles), National Health & Medical Research Council, National University of Singapore.