David G. Smith work email
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David G. Smith personal email
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David G. Smith phone numbers
Experienced Presales Solutions Engineer with a proven history of driving revenue for advanced analytics and cyber security solutions.Understand prospects needs, develop initial view of the solution, demonstrate solution, help close the deal and ensure a smooth transition to delivery.Skilled in Fraud Prevention, Identity, Online Authentication, Software as a Service (SaaS), Device Intelligence, Predictive Analytics and Customer Experience. Top performing Sales resource, closing over $5MM in a year. North American Employee of the Year.
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Presales EngineerBiocatch May 2021 - PresentNew York, Ny, Us -
Senior Solutions EngineerExperian Oct 2014 - May 2021Costa Mesa, Ca, Us -
Solutions EngineerExperian Apr 2014 - Oct 2014Costa Mesa, Ca, Us
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Sr Business ConsultantAli Solutions Jan 2006 - Nov 2012 -
ConsultantExperian-Scorex Dec 1994 - Jan 2006Costa Mesa, Ca, Us
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Product ManagerExperian-Scorex 1995 - 2006Costa Mesa, Ca, Us
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Marketing DirectorCoin Banking Systems Jun 1988 - Mar 1995
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Research AnalystFirst Citizens Bank Apr 1984 - Jun 1988Raleigh, North Carolina, Us
David G. Smith Skills
David G. Smith Education Details
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Duke UniversityMasters -
Wake Forest UniversityEconomics
Frequently Asked Questions about David G. Smith
What company does David G. Smith work for?
David G. Smith works for Biocatch
What is David G. Smith's role at the current company?
David G. Smith's current role is Presales Engineer at BioCatch.
What is David G. Smith's email address?
David G. Smith's email address is po****@****ail.com
What is David G. Smith's direct phone number?
David G. Smith's direct phone number is +167864*****
What schools did David G. Smith attend?
David G. Smith attended Duke University, Wake Forest University.
What skills is David G. Smith known for?
David G. Smith has skills like Predictive Analytics, Analytics, Business Analysis, Solution Selling, Product Management, Predictive Modeling, Segmentation, Business Intelligence, Credit Risk, Credit Scoring, Credit Cards, Statistical Modeling.
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