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Piyush Dogra

from Bellevue, WA
Age ~56
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Also known as:
Plyush Dogra, Piyush Doera
Phone and address:
3015 165Th Pl NE, Bellevue, WA 98008
(425) 324-4444
Related to:
Riyush DograArchika Dogra, 22Manisha Dogra, 55
Connected to:
Aditi Dogra, 34Ashish R Dogra, 70Harshdeep Dogra, 46Naveen Dogra, 46Pooja Dogra, 33Rajesh S Dogra, 50Rajpreet S Dogra, 43Sameer Dogra, 48Siddharth Dogra, 36Supriya Dogra, 33

Piyush Dogra Phones & Addresses

  • 3015 165Th Pl NE, Bellevue, WA 98008 (425) 324-4444
  • 7724 149Th Ave, Redmond, WA 98052 (425) 881-7996
  • Pittsburgh, PA
  • Fort Worth, TX
  • Evanston, IL
  • 7724 149Th Ave NE, Redmond, WA 98052

Work

Position: Professional Specialty Occupations

Education

Degree: Associate degree or higher

Resumes

Resumes

Piyush Dogra Photo 1

Senior Director

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Location:
Seattle, WA
Industry:
Computer Software
Work:
Microsoft since 1998
Senior Director
Education:
Northwestern University - Kellogg School of Management 1996 - 1998
Master of Business Administration, Masters, Marketing
Skills:
Strategy
Product Management
Cloud Computing
Business Development
Saas
Enterprise Software
Management
Business Planning
Consulting
Strategic Partnerships
Go To Market Strategy
Leadership
Cross Functional Team Leadership
Professional Services
Strategic Planning
Business Alliances
Multi Channel Marketing
Solution Selling
Piyush Dogra Photo 2

Piyush Dogra

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Publications

Us Patents

Automatically Aggregated Probabilistic Personal Contacts

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US Patent:
20080253544, Oct 16, 2008
Filed:
Apr 12, 2007
Appl. No.:
11/786524
Inventors:
Robert Ian Brown - Kirkland WA, US
Piyush Dogra - Redmond WA, US
Xuedong Huang - Bellevue WA, US
Abhiram G. Khune - Sammamish WA, US
Kuansan Wang - Bellevue WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
H04M 3/42
US Classification:
37920112
Abstract:
Described is a technology by which a user's telephone-related data is aggregated from various sources for use in assisting the user with making telephone calls. For example, call history data corresponding to a landline telephone, a mobile telephone and/or an office telephone of the user may be combined. Other sources include a landline telephone service, a mobile telephone service, an enterprise telephone system or server, a computing device, voice mail data, web page data, electronic message content, instant message content, a contacts list, and/or an information data store. The telephone-related data can be processed (e.g., based on frequency and calling patterns) to determine corresponding probability data to help determine a user's intent in locating a particular recipient to call. The user may access the telephone-related data via voice commands input at one of the user's telephones, or by receiving a visible list of at least part of the telephone-related data.
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Piyush Dogra from Bellevue, WA, age ~56 Get Report