Sevenstep Aug 2013 - Jun 2016
Lead Sourcing Specialist
Sevenstep Aug 2014 - Apr 2015
Senior Sourcing Specialist
Tripadvisor Aug 2014 - Apr 2015
Talent Acquisition Consultant
Education:
University of Massachusetts Dartmouth 2012 - 2013
Master of Business Administration, Masters, International Business
University of Massachusetts Dartmouth 2008 - 2012
Bachelors, Bachelor of Business Administration, Marketing
Waltham High School 2004 - 2008
Skills:
Sourcing Time Management Teamwork Social Media Leadership Hiring Recruiting Editing Microsoft Office Microsoft Excel Powerpoint Defensive Driving Management Spanish Microsoft Word Technical Recruiting Facebook Endorsements Spelling Arithmetic Event Planning Spill Response Strategy Marketing Research Spss Domo
Bny Mellon
Global Segment Head-Exchange Traded Funds
Nasdaq Dec 2014 - Jan 2017
Vice President-Head of Etp Listings and Services
Citi Mar 2010 - Jun 2014
North America Asset Management Segment and Global Etf Product Head
Brown Brothers Harriman 2002 - Feb 2010
Vp-Global Etf Product Head
Brown Brothers Harriman 2009 - 2009
Global Etf Product Head and Financial Services
Education:
Andover High School
Providence College
Bachelors, Bachelor of Arts, Business, History, Business Studies
Skills:
Asset Management Alternative Investments Financial Services Mutual Funds Capital Markets Etfs
- Redwood Shores CA, US Jeffrey Michael Mccarthy - Foster City CA, US Christina Stavrinou Kite - Foster City CA, US Enda Hu - Hillsborough CA, US
Assignee:
Oracle International Corporation - Redwood Shores CA
International Classification:
G06Q 30/02 G06N 20/00
Abstract:
An insight engine that takes into account a wide variety of information from a wide variety of sources for predicting a sales insight is generated. The insight engine is generated using machine learning. Historical customer-specific information, product-specific information, and environmental information are aggregated, based on customer, product, and/or time period, into historical customer profiles. The historical customer profiles are labeled with historical sales insights to form a training set. A machine learning algorithm is applied to the training set to generate an insight engine. The insight engine is applied to a target customer profile to determine a predicted sales insight for a target entity.