Search

Lingyun Y Gu

from Oxnard, CA
Age ~48

Lingyun Gu Phones & Addresses

  • Oxnard, CA
  • Northridge, CA
  • 3124 White Cedar Pl APT 29, Thousand Oaks, CA 91362 (407) 625-2410
  • Woodland Hills, CA
  • Richmond, VA
  • Pittsburgh, PA
  • Ventura, CA
  • Milwaukee, WI
  • Gainesville, FL

Public records

Vehicle Records

Lingyun Gu

View page
Address:
3124 White Cedar Pl, Thousand Oaks, CA 91362
Phone:
(407) 625-2410
VIN:
WBAFR7C55BC804244
Make:
BMW
Model:
5 SERIES
Year:
2011

Business Records

Name / Title
Company / Classification
Phones & Addresses
Lingyun Gu
President
Equinox Decisions Inc
Business Services at Non-Commercial Site · Nonclassifiable Establishments
3124 White Cedar Pl, Thousand Oaks, CA 91362

Publications

Wikipedia References

Lingyun Gu Photo 1

Lingyun Gu

Us Patents

System And Method For Building And Validating A Credit Scoring Function

View page
US Patent:
20140081832, Mar 20, 2014
Filed:
Sep 18, 2012
Appl. No.:
13/622260
Inventors:
Douglas Merrill - Los Angeles CA, US
John Merrill - Redmond WA, US
Shawn M. Budde - Evanston IL, US
Lingyun Gu - Thousand Oaks CA, US
James P. McGuire - Long Beach CA, US
Manoj Pinnamaneni - Los Angeles CA, US
International Classification:
G06Q 40/02
US Classification:
705 38
Abstract:
This invention relates generally to the personal finance and banking field, and more particularly to the field of credit scoring methods and systems. Preferred embodiments of the present invention provide systems and methods for building and validating a credit scoring function based on a creditor's target information from non-traditional sources using specific algorithms.

Adverse Action Systems And Methods For Communicating Adverse Action Notifications For Processing Systems Using Different Ensemble Modules

View page
US Patent:
20180365765, Dec 20, 2018
Filed:
Aug 22, 2018
Appl. No.:
16/109545
Inventors:
- Los Angeles CA, US
Shawn M. Budde - Evanston IL, US
John Candido - Burbank CA, US
Lingyun Gu - Thousand Oaks CA, US
Farshad Kheiri - Woodland Hills CA, US
James P. McGuire - Long Beach CA, US
Douglas C. Merrill - Los Angeles CA, US
Manoj Pinnamaneni - Los Angeles CA, US
Marick Sinay - Hawthorne CA, US
International Classification:
G06Q 40/02
Abstract:
This invention relates generally to the personal finance and banking field, and more particularly to the field of lending and credit notification methods and systems. Preferred embodiments of the present invention provide systems and methods for automatically generating high quality adverse action notifications based on identifying variations between a declined borrower's profile and that of approved applicants, both with simple and sophisticated credit scoring systems, using specific algorithms.

Systems And Methods For Generating And Using Optimized Ensemble Models

View page
US Patent:
20180260891, Sep 13, 2018
Filed:
May 11, 2018
Appl. No.:
15/977105
Inventors:
- Los Angeles CA, US
John W.L. Merrill - Redmond WA, US
Shawn M. Budde - Evanston IL, US
Lingyun Gu - Thousand Oaks CA, US
James P. McGuire - Long Beach CA, US
International Classification:
G06Q 40/02
G06N 99/00
G06N 5/04
Abstract:
This invention relates generally to the personal finance and banking field, and more particularly to the field of credit scoring methods and systems. Preferred embodiments of the present invention provide systems and methods for building and validating a credit scoring function based on a creditor's target information from non-traditional sources using specific algorithms.

System And Method For Building And Validating A Credit Scoring Function

View page
US Patent:
20160225076, Aug 4, 2016
Filed:
Jan 8, 2016
Appl. No.:
14/991616
Inventors:
- Los Angeles CA, US
John W.L. Merrill - Redmond WA, US
Shawn M. Budde - Evanston IL, US
Lingyun Gu - Thousand Oaks CA, US
James P. McGuire - Long Beach CA, US
Manoj Pinnamaneni - Los Angeles CA, US
International Classification:
G06Q 40/02
G06N 5/04
G06N 99/00
Abstract:
This invention relates generally to the personal finance and banking field, and more particularly to the field of credit scoring methods and systems. Preferred embodiments of the present invention provide systems and methods for building and validating a credit scoring function based on a creditor's target information from non-traditional sources using specific algorithms.

Methods And Systems For Automatically Generating High Quality Adverse Action Notifications

View page
US Patent:
20160155193, Jun 2, 2016
Filed:
Nov 30, 2015
Appl. No.:
14/954825
Inventors:
- Los Angeles CA, US
Shawn M. Budde - Evanston IL, US
John Candido - Burbank CA, US
Lingyun Gu - Thousand Oaks CA, US
Farshad Kheiri - Woodland Hills CA, US
James P. McGuire - Long Beach CA, US
Douglas C. Merrill - Los Angeles CA, US
Manoj Pinnamaneni - Los Angeles CA, US
Marick Sinay - Hawthorne CA, US
International Classification:
G06Q 40/02
Abstract:
This invention relates generally to the personal finance and banking field, and more particularly to the field of lending and credit notification methods and systems. Preferred embodiments of the present invention provide systems and methods for automatically generating high quality adverse action notifications based on identifying variations between a declined borrower's profile and that of approved applicants, both with simple and sophisticated credit scoring systems, using specific algorithms.

System And Method For Building And Validating A Credit Scoring Function

View page
US Patent:
20150019405, Jan 15, 2015
Filed:
May 13, 2014
Appl. No.:
14/276632
Inventors:
- Los Angeles CA, US
John W.L. Merrill - Redmond WA, US
Shawn M. Budde - Evanston IL, US
Lingyun Gu - Thousand Oaks CA, US
James P. McGuire - Long Beach CA, US
Assignee:
ZESTFINANCE, INC. - Los Angeles CA
International Classification:
G06Q 40/02
US Classification:
705 38
Abstract:
This invention relates generally to the personal finance and banking field, and more particularly to the field of credit scoring methods and systems. Preferred embodiments of the present invention provide systems and methods for building and validating a credit scoring function based on a creditor's target information from non-traditional sources using specific algorithms.

Methods And Systems For Automatically Generating High Quality Adverse Action Notifications

View page
US Patent:
20140214648, Jul 31, 2014
Filed:
Jan 31, 2014
Appl. No.:
14/169400
Inventors:
- Los Angeles CA, US
Shawn M. Budde - Evanston IL, US
Lingyun Gu - Thousand Oaks CA, US
Farshad Kheiri - Woodland Hills CA, US
James P. McGuire - Long Beach CA, US
Douglas C. Merrill - Los Angeles CA, US
Manoj Pinnamaneni - Los Angeles CA, US
Marick Sinay - Hawthorne CA, US
Assignee:
ZESTFINANCE, INC. - Los Angeles CA
International Classification:
G06Q 40/02
US Classification:
705 38
Abstract:
This invention relates generally to the personal finance and banking field, and more particularly to the field of lending and credit notification methods and systems. Preferred embodiments of the present invention provide systems and methods for automatically generating high quality adverse action notifications based on identifying variations between a declined borrower's profile and that of approved applicants, both with simple and sophisticated credit scoring systems, using specific algorithms.
Lingyun Y Gu from Oxnard, CA, age ~48 Get Report