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Peter W Flur

from Charlotte, NC
Age ~60

Peter Flur Phones & Addresses

  • 15008 Fanning Manor Ct, Charlotte, NC 28277 (704) 752-1066 (704) 752-1067
  • Smyrna, GA
  • Hagerstown, MD
  • Clearwater, FL
  • Fresno, CA

Resumes

Resumes

Peter Flur Photo 1

President And Chief Executive Officer And Owner, Sniglets, Inc

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Location:
Charlotte, NC
Industry:
Internet
Work:
sniglets, inc.
President & CEO

Connexxia 2000 - 2005
co-President & CTO

GE Corporate Research and Development 1986 - 1989
Software Engineer

GE 1986 - 1988
Engineer
Education:
Duke University 1982 - 1986
BSE, Electrical Engineering, Computer Science
Skills:
Start Ups
Wireless
Product Management
Strategic Planning
Product Development
Business Strategy
Networking
Peter Flur Photo 2

Peter Flur

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Business Records

Name / Title
Company / Classification
Phones & Addresses
Mr. Peter Flur
Chief Technology Officer
Connexxia, LLC
Correspondence Schools
Platinum Tower, 400 Interstate North Pkwy SE Ste 820, Atlanta, GA 30339-5054
(678) 627-8600, (770) 690-8581
Peter W Flur
President
SNIGLETS, INC
Web Page Designing Computer Related Services
2249 Cypress Pt Dr E, Clearwater, FL 33763
2519 N Mcmullen Booth Rd STE 510-235, Clearwater, FL 33761
(727) 687-5797
Peter W. Flur
Chief Technology Officer
Connexxia LLC
Software Development
400 Interstate N Pkwy SE, Atlanta, GA 30339
(678) 627-8600, (770) 690-8581

Publications

Us Patents

Systems And Methods For Making A Prediction Utilizing Admissions-Based Information

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US Patent:
20020116253, Aug 22, 2002
Filed:
Feb 21, 2002
Appl. No.:
10/080014
Inventors:
Kevin Coyne - Atlanta GA, US
Shawn Coyne - Smyrna GA, US
Peter Flur - Charlotte NC, US
William Norton - Atlanta GA, US
International Classification:
G06F017/60
US Classification:
705/010000
Abstract:
The invention comprises systems and methods for making a prediction utilizing admissions-based or personal information. The invention receives information associated with the prospective student or person via a network. The invention determines one or more predictive factors based upon selected prospective student information or selected personal information. Finally, the invention determines a likelihood of a decision such as an enrollment decision based upon at least one predictive factor. Information utilized by the invention consists of at least one of the following: static data, biographical data, statistical data, historical data, behavioral data, preferential data, circumstantial data, demographic data, or other data that permits an observation to be made about a person such as the prospective student. The invention develops and updates a predictive algorithm that correlates one or more predictive factors based upon selected prospective student information or personal information.
Peter W Flur from Charlotte, NC, age ~60 Get Report