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Jing Hao, 5312912 Tall Grass Trl, Frisco, TX 75035

Jing Hao Phones & Addresses

12912 Tall Grass Trl, Frisco, TX 75035   

The Colony, TX   

Celeste, TX   

Allen, TX   

Richardson, TX   

Plano, TX   

Dallas, TX   

Starkville, MS   

Mississippi State, MS   

Work

Company: Analytics 2011 Position: Manager

Education

School / High School: University of Texas at Dallas- Dallas, TX 2011 Specialities: Ph.D. in Management Science

Mentions for Jing Hao

Jing Hao resumes & CV records

Resumes

Jing Hao Photo 30

Jing Hao

Jing Hao Photo 31

Jing Hao

Jing Hao Photo 32

Consulting Manager

Work:
Ey
Consulting Manager
Jing Hao Photo 33

Jing Hao

Location:
United States
Jing Hao Photo 34

Jing Hao

Location:
United States
Jing Hao Photo 35

Jing Hao

Location:
United States
Jing Hao Photo 36

Jing Hao - Plano, TX

Work:
Analytics 2011 to 2000
Manager
ARGO Data Resource Corporation - Richardson, TX 2010 to 2011
Business Intelligence Analyst
School of Management, University of Texas at Dallas - Richardson, TX 2005 to 2010
Research Analyst
Education:
University of Texas at Dallas - Dallas, TX 2011
Ph.D. in Management Science
University of Texas at Dallas - Dallas, TX 2001
M.S. in Computer Science

Publications & IP owners

Us Patents

System And Method For Dynamic Pricing In A Network Environment

US Patent:
2016015, Jun 2, 2016
Filed:
Dec 1, 2014
Appl. No.:
14/556712
Inventors:
- Dallas TX, US
Jing Hao - Plano TX, US
Assignee:
MATCH.COM, L.L.C. - Dallas TX
International Classification:
G06Q 30/02
G06F 17/30
Abstract:
A method is provided in one example embodiment and includes, for each user in a subset of users subscribed to a computer-implemented matching service, determining a score for the user, the score indicating a propensity of the user to resubscribe the computer-implemented matching service; determining whether to present a save offer to the user based on the scored determined for the user; and if a determination is made to present a save offer to the user, selecting from a plurality of save offers a save offer for which the user is eligible. The method may further include determining a decile to which the user belongs based on the score determined for the user relative to scores determined for remainder of the subset of users, in which the determining whether to present a save offer to the user is based on the decile to which the user is assigned.

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