Video: Necessary Skills of the Quant: Finance, Fraud, and Marketing - Predictive Analytics Times - machine learning & data science news
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5 years ago
Video: Necessary Skills of the Quant: Finance, Fraud, and Marketing

 

This speaker session is from Predictive Analytics World for Business, October, 5–9, 2014 in Boston, MA:

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 Sameer Chopra is Group Vice President of Advanced Analytics at Orbitz Worldwide, Inc., a leading global online travel company. He has almost 20 years of experience in applying data mining and predictive analytics across various business domains at both Fortune 500 firms and startups. Before joining Orbitz, Sameer was in the senior leadership team of Intuit’s Small Business Group (SBG) where he led Marketing Analytics and Web testing. Prior to Intuit, Sameer was with eBay for many years where he served as Director of Analytics – working across different areas such as Internet Marketing, Fraud Detection, Global Site Experimentation etc.

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 “Through the marriage of technology, information and analytics UPS reduces cost and improves services. These advanced technologies streamline our business processes and ultimately benefit our customers.” Jack Levis, Senior Director of Process Management, drives the development of operational technology solutions. These solutions require advanced analytics to reengineer current processes to streamline the business and maximize productivity. Under Jack’s direction, UPS has completed integration of multiple operations systems, requiring extensive system engineering, usability and analytics provisions. These systems ultimately synchronize the flow of data throughout UPS, allowing the seamless movement of goods, funds and information. Jack has been the business owner

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 Dr. Thomas Hill joined Dell as Executive Director for Analytics through Dell’s recent acquisition of StatSoft, Inc., where he previously served for over 20 years as Vice President for Analytic Solutions. Dr. Hill received his Vordiplom in psychology from Kiel University in Germany and earned an M.S. in industrial psychology and a Ph.D. in psychology and quantitative methods from the University of Kansas. He was Associate Professor (and then Research Professor) at the University of Tulsa from 1984 to 2009, where he taught courses on data analysis and data mining as well as cognitive psychology. Dr. Hill was involved for

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