Equifax
Enterprise Solution Enabler - Key Client Program
Equifax Jun 1, 2004 - Jun 2013
Product Manager
Equifax Oct 2002 - Jun 2004
Assistant Vice President - Technology
Equifax Jan 1999 - Oct 2002
Assistant Vice President - Internet Business Development
Equifax Jan 1997 - Jan 1999
Manager - Integrated Development and Support Environments
Education:
Auburn University 1982 - 1987
Skills:
Product Management Project Management Pre Sales Enterprise Software Business Analysis Marketing Product Development Analytics Management Vendor Management Business Intelligence Sdlc Sales Software Project Management Strategic Partnerships Team Building Process Improvement Business Process Improvement Crm Saas Business Process Management Human Resources Financial Services Cross Functional Team Leadership Program Management Strategy Requirements Analysis It Strategy Product Marketing Solution Selling Software Development Segmentation Data Warehousing Sql Integration
Sandeep Gupta - Alpharetta GA, US Christian Hall - Canton GA, US James Reid - Alpharetta GA, US Shen Lu - Duluth GA, US Dennis Horton - Buford GA, US Lee Grice - Cumming GA, US Thresa Dixon - Canton GA, US Scott Garten - Canton GA, US Sudhakar Reddy - Suwanee GA, US
Assignee:
Equifax, Inc. - Atlanta GA
International Classification:
G06Q 40/00
US Classification:
705 38, 705 35, 705 39
Abstract:
The present invention relates to application processing and decisioning systems and processes. One embodiment of the invention includes a method for automating decisioning for a credit request associated with an applicant. The method includes providing a user computer interface adapted to receive information associated with an applicant, and further adapted to display and receive information associated with at least one decision rule. The method also includes receiving information associated with an applicant through the user computer interface; receiving information associated with the applicant from at least one data source; and receiving a selection of information associated with a plurality of decision rules through the user computer interface. Furthermore, the method includes receiving a selection of rule flow information associated with the plurality of decision rules through the user computer interface; generating a plurality of decision rules based at least in part on the information associated with the applicant, based at least in part on the information associated with the applicant from at least one data source, and based at least in part on the selection of information associated with a plurality of decision rules, wherein an outcome associated with the at least one decision rule can be obtained; and based in part on at least the rule flow information, displaying at least a portion of the plurality of decision rules through the user computer interface.
Application Processing And Decision Systems And Processes
Sandeep Gupta - Alpharetta GA, US Christian Hall - Canton GA, US James Reid - Alpharetta GA, US Shen Lu - Dulruth GA, US Dennis Horton - Buford GA, US Lee Grice - Cumming GA, US Thresa Dixon - Canton GA, US Scott Garten - Canton GA, US Sudhakar Reddy - Surwanee GA, US
International Classification:
G06Q 40/00 G06F 7/00 G06F 17/00
US Classification:
705035000, 707100000
Abstract:
The present invention relates to application processing and decisioning systems and processes. One embodiment of the invention includes a method for automating decisioning for a credit request associated with an applicant. The method includes providing a user computer interface adapted to receive information associated with an applicant, and further adapted to display and receive information associated with at least one decision rule. The method also includes receiving information associated with an applicant through the user computer interface; receiving information associated with the applicant from at least one data source; and receiving a selection of information associated with a plurality of decision rules through the user computer interface. Furthermore the method includes receiving a selection of rule flow information associated with the plurality of decision rules through the user computer interface; generating a plurality of decision rules based at least in part on the information associated with the applicant, based at least in part on the information associated with the applicant from at least one data source, and based at least in part on the selection of information associated with a plurality of decision rules, wherein an outcome associated with the at least one decision rule can be obtained; and based in part on at least the rule flow information, displaying at least a portion of the plurality of decision rules through the user computer interface.
Application Processing And Decision Systems And Processes
Sandeep Gupta - Alpharetta GA, US Christian Hall - Canton GA, US James Reid - Cumming GA, US Shen Lu - Duluth GA, US Dennis Horton - Buford GA, US Lee Grice - Cumming GA, US Thresa Dixon - Canton GA, US Scott Garten - Canton GA, US Sudhakar Reddy - Alpharetta GA, US
International Classification:
G05B 19/418 G06F 9/46
US Classification:
705008000
Abstract:
The present invention relates to application processing and decisioning systems and processes. One embodiment of the invention includes a method for automating decisioning for a credit request associated with an applicant. The method includes providing a user computer interface adapted to receive information associated with an applicant, and further adapted to display and receive information associated with at least one decision rule. The method also includes receiving information associated with an applicant through the user computer interface; receiving information associated with the applicant from at least one data source; and receiving a selection of information associated with a plurality of decision rules through the user computer interface. Furthermore, the method includes receiving a selection of rule flow information associated with the plurality of decision rules through the user computer interface; generating a plurality of decision rules based at least in part on the information associated with the applicant, based at least in part on the information associated with the applicant from at least one data source, and based at least in part on the selection of information associated with a plurality of decision rules, wherein an outcome associated with the at least one decision rule can be obtained; and based in part on at least the rule flow information, displaying at least a portion of the plurality of decision rules through the user computer interface.
Application Processing And Decision Systems And Processes
Sandeep Gupta - Alpharetta GA, US Christian Hall - Canton GA, US James Reid - Alpharetta GA, US Shen Lu - Duluth GA, US Dennis Horton - Bufford GA, US Lee Grice - Cumming GA, US Thresa Dixon - Canton GA, US Scott Garten - Canton GA, US Sudhakar Reddy - Suwanee GA, US
International Classification:
G06N 5/04 G06Q 40/00
US Classification:
706 47, 705 38
Abstract:
The present invention relates to application processing and decisioning systems and processes. One embodiment of the invention includes a method for automating decisioning for a credit request associated with an applicant. The method includes providing a user computer interface adapted to receive information associated with an applicant, and further adapted to display and receive information associated with at least one decision rule. The method also includes receiving information associated with an applicant through the user computer interface; receiving information associated with the applicant from at least one data source; and receiving a selection of information associated with a plurality of decision rules through the user computer interface. Furthermore, the method includes receiving a selection of rule flow information associated with the plurality of decision rules through the user computer interface; generating a plurality of decision rules based at least in part on the information associated with the applicant, based at least in part on the information associated with the applicant from at least one data source, and based at least in part on the selection of information associated with a plurality of decision rules, wherein an outcome associated with the at least one decision rule can be obtained; and based in part on at least the rule flow information, displaying at least a portion of the plurality of decision rules through the user computer interface.
Detecting Synthetic Online Entities Facilitated By Primary Entities
- Atlanta GA, US Rakesh PATEL - Smyma GA, US John MULLINAX - Cumming GA, US Troy COLE - Moseley VA, US Julio FARACH - Atlanta GA, US Lee GRICE - Auburn AL, US Patrick WADKINS - Dunwoody GA, US Erik STRONG - Doraville GA, US Cordell BOYNES - Lawrenceville FA, US
In some aspects, a computing system can generate entity links between a primary entity object identifying a primary entity for multiple accounts and secondary entity objects identifying secondary entities from the accounts. The computing system can determine a rate at which secondary users change on the accounts. The computing system can update, based on the determined rate, the primary entity object to include a fraud-facilitation flag. The computing system can also service a query from a client system regarding a presence of a fraud warning for a target consumer associated with a consumer system that accesses a service provided with the client system. For instance, the computing system can generate a fraud warning based on the target consumer being identified in a secondary entity object associated with the primary entity object having the fraud-facilitation flag. The computing system can transmit the fraud warning to the client system.
Detecting Synthetic Online Entities Facilitated By Primary Entities
- Atlanta GA, US Rakesh PATEL - Smyrna GA, US John MULLINAX - Cumming GA, US Troy COLE - Moseley VA, US Julio FARACH - Atlanta GA, US Lee GRICE - Auburn AL, US Patrick WADKINS - Dunwoody GA, US Erik STRONG - Doraville GA, US Cordell BOYNES - Lawrenceville GA, US
In some aspects, a computing system can generate entity links between a primary entity object identifying a primary entity for multiple accounts and secondary entity objects identifying secondary entities from the accounts. The computing system can determine a rate at which secondary users change on the accounts. The computing system can update, based on the determined rate, the primary entity object to include a fraud-facilitation flag. The computing system can also service a query from a client system regarding a presence of a fraud warning for a target consumer associated with a consumer system that accesses a service provided with the client system. For instance, the computing system can generate a fraud warning based on the target consumer being identified in a secondary entity object associated with the primary entity object having the fraud-facilitation flag. The computing system can transmit the fraud warning to the client system.
Software Development Platform For Testing And Modifying Decision Algorithms
- Atlanta GA, US Christian Hall - Canton GA, US James Reid - Alpharetta GA, US Shen Lu - Duluth GA, US Dennis Horton - Buford GA, US Lee Grice - Cumming GA, US Thresa Dixon - Canton GA, US Scott Garten - Canton GA, US Sudhakar Reddy - Suwanee GA, US
International Classification:
G06N 99/00 G06Q 40/02 G06Q 20/10 G06Q 40/00
Abstract:
This disclosure involves development and deployment platforms for decision algorithms. For example, a computing system provides software development interface to a client device. The system sets, based on an input from the client device via the interface, a decision engine to a test mode that causes the decision engine to operate on test data stored in a first database and that prevents the decision engine from applying operations from the client device to production data stored in a second database. The system also configures the decision engine in the test mode to execute a different decision algorithms on the test data. The system also sets, based on another input via the interface, the decision engine to a deployment mode that causes the decision engine to operate on the production data. The system configures the decision engine in the deployment mode to execute one or more of the tested decision algorithms.