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Gary Philip Kearns

from Garden City, NY
Age ~68

Gary Kearns Phones & Addresses

  • Garden City, NY
  • 423 Begonia Ave, Corona del Mar, CA 92625
  • Corona Dl Mar, CA
  • Naples, FL
  • 26 Shagbark Dr, New Canaan, CT 06840
  • Darien, CT
  • Mission Viejo, CA
  • Greenwich, CT
  • Orange, CA
  • 69 Bank St, New Canaan, CT 06840

Professional Records

License Records

Gary W Kearns

Address:
1123 Pkwy Dr, Naples, FL
License #:
68537 - Expired
Category:
Health Care
Expiration Date:
Dec 1, 1996
Type:
Emergency Medical Technician

Gary W Kearns

Address:
1123 Pkwy Dr, Naples, FL
License #:
14282 - Expired
Category:
Health Care
Issued Date:
Aug 15, 1994
Expiration Date:
Dec 1, 1996
Type:
Paramedic

Public records

Vehicle Records

Gary Kearns

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Address:
69 Bank St, New Canaan, CT 06840
VIN:
WBSWL93558PL89081
Make:
BMW
Model:
M3 CV
Year:
2008

Business Records

Name / Title
Company / Classification
Phones & Addresses
Gary Kearns
CTO
Experian Information Solutions Inc
Credit Reporting · Credit Reporting Services · Credit Reporting Srvcs · Consumer Credit Reporting · Credit Bureaus
475 Anton Blvd, Costa Mesa, CA 92626
475 Anton Blvd Attn: Tax, Costa Mesa, CA 92626
5400 Big Tyler Rd, Charleston, WV 25313
3225N Central Ave, Phoenix, AZ 85012
(714) 830-7000, (949) 567-3731, (714) 830-7498, (972) 390-3042
Gary Kearns
Chief Executive Officer
NEW CANAAN COMPANY THE
Water Utility
59 Grv St, New Canaan, CT 06840
(203) 972-7328
Gary P. Kearns
President, Chief Executive Officer
CANAAN FINANCIAL GROUP, LLC
Consulting and Financial Advisory Services
26 Shagbark Dr, New Canaan, CT 06840

Publications

Us Patents

Systems And Methods For Recommending Merchants

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US Patent:
20150032543, Jan 29, 2015
Filed:
May 29, 2014
Appl. No.:
14/290491
Inventors:
- Purchase NY, US
Gary Sofko - Purdys NY, US
Gary Kearns - New Canaan CT, US
Walter Lo Faro - Chesterfield MO, US
Assignee:
MASTERCARD INTERNATIONAL INCORPORATED - Purchase NY
International Classification:
G06Q 30/02
US Classification:
705 1458
Abstract:
A computer system for recommending a merchant to a candidate consumer is provided. The computer system includes a memory device for storing data and a processor. The processor is programmed to collect transaction information for transactions between a plurality of payment cardholders and a plurality of merchants over a predetermined time period where the transaction information includes a merchant identifier associated with each transaction, generate a list of cardholders based on the transaction information where the cardholder list includes an inferred residential zip code associated with each cardholder, determine a number of unique cardholders for each inferred residential zip code associated with each merchant identifier based on the transaction information and the cardholder inferred residential zip codes, calculate a local popularity score for each merchant based on the number of unique cardholders and cardholder inferred residential zip codes, and generate a list of merchants based on the local popularity score.

Systems And Methods For Recommending Merchants

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US Patent:
20150032565, Jan 29, 2015
Filed:
Jul 25, 2013
Appl. No.:
13/951215
Inventors:
- Purchase NY, US
Gary Sofko - Purdys NY, US
Gary Kearns - Greenwich CT, US
Assignee:
MasterCard International Incorporated - Purchase NY
International Classification:
G06Q 30/06
US Classification:
705 267
Abstract:
A computer system for recommending merchants to a candidate consumer is provided. The computer system includes a memory device in communication with a processor. The processor is programmed to collect transaction information for transactions between a plurality of payment cardholders and a plurality of merchants over a predetermined time period. The transaction information includes a merchant identifier associated with each transaction. The processor generates a list of cardholders based on the transaction information. The cardholder list includes a residential zip code associated with each cardholder. The processor then determine a total number of transactions and a number of local and unique cardholders for each merchant identifier based, at least in part, on the transaction information and/or the cardholder residential zip codes. Based on the total number of transactions and the number of local and unique cardholders, the processor then generates a list of recommended merchants.
Gary Philip Kearns from Garden City, NY, age ~68 Get Report