David J Mattei, Age 6844 Wolfer Dr, Amelia, OH 45102

David Mattei Phones & Addresses

44 Wolfer Dr, Amelia, OH 45102

4177 Otter Creek Dr, Amelia, OH 45102 (513) 752-9918

1262 Ayershire Ave, Cincinnati, OH 45230 (513) 232-2098

Batavia, OH

4177 Otter Creek Dr, Amelia, OH 45102

Work

Position: Building and Grounds Cleaning and Maintenance Occupations

Education

Degree: Graduate or professional degree

Mentions for David J Mattei

David Mattei resumes & CV records

Resumes

David Mattei Photo 31

Colonial Life Voluntary Benefits

Location:
Allentown, Pennsylvania
Industry:
Insurance
Work:
Colonial Life 2012 - 2013
District Group Agent
Blue Ridge Cable 2009 - 2011
Sales
Verizon Business Solutions Jan 2007 - Nov 2009
Business Development Manager
Education:
Muhlenberg College 2001 - 2012
Bachelor of Science (BS), HR
Skills:
Wireless, Managed Services, Contract Negotiation, Call Center, Salesforce.com, Lead Generation, Product Marketing, Cold Calling, Call Centers
Interests:
Fitness, Metal Detecting, gold panning
Languages:
SPANISH
David Mattei Photo 32

Lae At Tql

Position:
LAE at TQL
Location:
Cincinnati Area
Industry:
Transportation/Trucking/Railroad
Work:
TQL
LAE
David Mattei Photo 33

David Mattei

Location:
United States
David Mattei Photo 34

David Mattei

Location:
United States
David Mattei Photo 35

David Mattei

David Mattei Photo 36

David Mattei

Publications & IP owners

Us Patents

Systems And Methods For Aggregated Database For Cross-Issuer Fraud Detection System

US Patent:
2021035, Nov 18, 2021
Filed:
Jul 30, 2021
Appl. No.:
17/444115
Inventors:
- Symmes Township OH, US
David MATTEI - Loveland OH, US
Dennis KETTLER - Mason OH, US
International Classification:
G06Q 20/40
G06Q 40/02
H04L 9/32
G06Q 30/02
G06F 16/435
G06F 16/25
Abstract:
A method for establishing fraud detection system for payment card transactions associated with an individual or a household by analyzing the online or in-store transaction against fraud detection individual profile. Generating the individual profile involves retrieving transaction data and identifying information associated with transaction authorization request, searching for another payment card using the identifying information, aggregating payment cards transaction data, generating profile data for an individual according to identifying information, transaction data, and any reported fraudulent activities under the payment cards, analyzing the transaction against the profile data to determine whether the transaction is a fraudulent activity, and providing a notification to financial institutions reporting any fraudulent activities. The fraud detection system for a household analyzes an online or in-store transaction against a household profile that associates all payment cards in consumer's household to create a complete picture of the buying behavior of the consumer household.

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