Keith W Manthey from 1005 Ambrose Ave, Alpharetta, GA 30022, age 55, Phone: 4042292335

Name / Title

Company / Classification

Phones & Addresses

Keith Manthey
CFO

GALTECH SYSTEMS, INC

5525 Cameron Frst Pkwy, Alpharetta, GA 30022

Resumes

Global Cto, Unstructured Data Solutions

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Location:

1005 Ambrose Ave, Alpharetta, GA 30022

Industry:

Information Technology And Services

Work:

Equifax - Alpharetta, GA since Oct 2011
Vice President -Technology
Equifax Mar 2009 - Oct 2011
Technology Leader
Equifax Jan 2007 - Mar 2009
Enterprise Architect
Equifax Jun 2005 - Dec 2006
Chief Architect - Marketing Services Division
Equifax Apr 2002 - Jun 2005
Infrastructure Architect - Strategic Development

Education:

The University of Georgia 2009 - 2011
MS, Management Information Systems Virginia Polytechnic Institute and State University 1987 - 1991
BS, Accounting Information Systems

Skills:

Enterprise Architecture
Big Data
Enterprise Software
Software Development
Agile Methodologies
Software Engineering
Analytics
Cloud Computing
Application Architecture
Sdlc
Data Warehousing
Distributed Systems
It Strategy
Architecture
Integration
Solution Architecture
Data Mining
Databases
High Performance Computing
Unix
Grid Computing
Agile Project Management
Soa
Leading Development Teams
Platform Architecture
Software Development Life Cycle
Machine Learning
Java
Big Data Analytics
R
Natural Language Processing
Apache Spark
Scala
Python
Apache Storm
Apache Kafka

Interests:

Education

Certifications:

License Certificate #10547
License 1452356
Certified Scrum Master (Csm)
Safe Practictioner
Safe Agilist
Association of Enterprise Architects, Hong Kong Chapter, License Certificate #10547
Project Management Institute, License 1452356
Scrum Alliance
Scaled Agile, Inc.
Togaf 8 Certified Enterprise Architect
Project Management Professional (Pmp)
Deep Learning (Deeplearning.ai)

Vice President - Technology

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Position:

Vice President -Technology at Equifax

Location:

Greater Atlanta Area

Industry:

Financial Services

Work:

Education:

The University of Georgia 2009 - 2011
MS, Management Information Systems Virginia Polytechnic Institute and State University 1987 - 1991
BS, Accounting Information Systems

Skills:

Big Data
Data Warehousing
Master Data Management
Agile Project Management
Enterprise Architecture
Application Architecture
High Performance Computing
Platform Architecture
Grid Computing
Identity Resolution
Leading Development Teams
Software Engineering

Certifications:

TOGAF 8 Certified Enterprise Architect, The Open Group Architectural Framework
Project Management Professional (PMP), Project Management Institute (PMI)
Certified SCRUM Master (CSM), Scrum Alliance

Us Patents

Systems And Processes For Automated Criteria And Attribute Generation, Searching, Auditing And Reporting Of Data
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US Patent:

20050086579, Apr 21, 2005
Filed:

Jun 14, 2004
Appl. No.:

10/868476
Inventors:

Stephen Leitner - Alpharetta GA, US
Fred Hughes - Marietta GA, US
Keith Manthey - Alpharetta GA, US
David Ferber - Cumming GA, US
John Dickson - Flowery Branch GA, US
Reuben Kennedy - Atlanta GA, US
Kevin Franklin - Marietta GA, US
Mark Nailor - Woodstock GA, US
International Classification:

G06F015/00
US Classification:

715500000
Abstract:

The present invention relates to methods and systems for automated criteria and attribute generation, searching, auditing and reporting of data. One aspect of an embodiment of the invention includes a method for translating a request for filtering data in a plurality of credit data sources. The method includes receiving a request based on at least one attribute and on at least one modeling criteria, wherein the at least one attribute and the at least one modeling criteria are each associated with a portion of data in a plurality of credit data sources, automatically generating executable computer code associated with the at least one attribute and at least one modeling criteria, wherein the executable computer code is adapted to filter the portion of data in the plurality of credit data sources based at least in part on the at least one attribute and at least one modeling criteria, and storing at least a portion of the executable computer code for use with another request based in part on the at least one attribute and based in part on the at least one modeling criteria.

Detecting Synthetic Online Entities
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US Patent:

20210209230, Jul 8, 2021
Filed:

Mar 4, 2021
Appl. No.:

17/192861
Inventors:

- Atlanta GA, US
Mark BURGESS - Alpharetta GA, US
Keith MANTHEY - Alpharetta GA, US
Steven HICKLIN - York, GB
International Classification:

G06F 21/55
H04W 4/021
Abstract:

Examples are disclosed for detecting synthetic online entities that may be used for fraudulent purposes or other purposes. In some aspects, a computing system can generate a data structure that includes nodes and links between the nodes. The nodes can represent online entities and the links can represent geographic associations or transactional associations between pairs of online entities. These associations can be identified from electronic transactions involving the online entities. The computing system can determine, from the links between the nodes, that a degree of connectivity among a subset of the nodes exceeds a threshold connectivity. The degree of connectivity indicates electronic communications involving online entities represented by the subset of the nodes. The computing system can transmit, based on the degree of connectivity exceeding the threshold connectivity, an alert indicating a potential synthetic entity (e.g., potentially fraudulent activity) within the subset of the nodes.

Detecting Synthetic Online Entities
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US Patent:

20180114017, Apr 26, 2018
Filed:

Mar 24, 2016
Appl. No.:

15/558691
Inventors:

- Atlanta GA, US
Mark BURGESS - Alpharetta GA, US
Keith MANTHEY - Alpharetta GA, US
Steve HICKLIN - York, GB
International Classification:

G06F 21/55
Abstract:

Examples are disclosed for detecting synthetic online entities that may be used for fraudulent purposes or other purposes. In some aspects, a computing system can generate a data structure that includes nodes and links between the nodes. The nodes can represent online entities and the links can represent geographic associations or transactional associations between pairs of online entities. These associations can be identified from electronic transactions involving the online entities. The computing system can determine, from the links between the nodes, that a degree of connectivity among a subset of the nodes exceeds a threshold connectivity. The degree of connectivity indicates electronic communications involving online entities represented by the subset of the nodes. The computing system can transmit, based on the degree of connectivity exceeding the threshold connectivity, an alert indicating a potential synthetic entity (e.g., potentially fraudulent activity) within the subset of the nodes.