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Sandeep K Tukhar

from Sunnyvale, CA
Age ~48
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Also known as:
Sandeep S Tukhar
Phone and address:
868 W Knickerbocker Dr, Sunnyvale, CA 94087
(408) 505-7731
Related to:
Bradley J Sweet, 43Mikayla SweetLynne Timoney, 70Antonio GallmonHarvey B Tetreault
Connected to:
Robert L Tukker, 53Kirk D Tukua, 55Keili Tukuafu, 38Shurla K Tukuru, 53Feleti Tukutau, 82Anjan K Tula, 38Felipe T Tula, 69Ignacio Tula, 50Jessica M Tula, 33Lauren M Tula, 51

Sandeep Tukhar Phones & Addresses

  • 868 W Knickerbocker Dr, Sunnyvale, CA 94087 (408) 505-7731
  • 255 Honeylocust Ter, Sunnyvale, CA 94086
  • 355 N Wolfe Rd #637, Sunnyvale, CA 94085
  • Streetsboro, OH
  • Broadview Heights, OH
  • Santa Clara, CA

Work

Company: Indeed.com Mar 2019 Position: Drector, product management - mobile apps

Education

Degree: Bachelors School / High School: University of Toronto Specialities: Computer Science

Skills

E Commerce • Product Management • Software Development • Analytics • Product Requirements • Management • Project Planning • Agile Methodologies • Saas • Business Analysis • Mobile Devices • Multi Channel Marketing • User Experience • Cross Functional Team Leadership • Strategic Partnerships • Mobile Applications

Industries

Information Technology And Services

Resumes

Resumes

Sandeep Tukhar Photo 1

Drector, Product Management - Mobile Apps

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Location:
Sunnyvale, CA
Industry:
Information Technology And Services
Work:
Indeed.com
Drector, Product Management - Mobile Apps
Ebay Oct 2015 - Mar 2019
Director Product Management - Global Checkout and Financing
Ebay Jan 2013 - Sep 2015
Senior Manager, Product Management - Ebay Mobile
Ebay Mar 2011 - Jan 2013
Senior Manager, Product Management - Loyalty and Incentives
Ebay Jul 2009 - Feb 2011
Manager, Product Management - Traffic, Incentives and Credit
Education:
University of Toronto
Bachelors, Computer Science
Skills:
E Commerce
Product Management
Software Development
Analytics
Product Requirements
Management
Project Planning
Agile Methodologies
Saas
Business Analysis
Mobile Devices
Multi Channel Marketing
User Experience
Cross Functional Team Leadership
Strategic Partnerships
Mobile Applications

Publications

Us Patents

Price-Based Delay Of An Advertisement

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US Patent:
20100293053, Nov 18, 2010
Filed:
May 13, 2009
Appl. No.:
12/465518
Inventors:
Venkat Sudhakar Potineni - San Jose CA, US
Jedediah H. Paulson - San Mateo CA, US
Sandeep K. Tukhar - Sunnyvale CA, US
James A. Thordsen - Pleasanton CA, US
Jane F. Lai - Los Altos Hills CA, US
Ana L. Aspinall - Redwood City CA, US
Katherine Ando - San Jose CA, US
Oriana F. Behroozi - San Jose CA, US
Assignee:
EBAY INC. - SAN JOSE CA
International Classification:
G06Q 30/00
US Classification:
705 1453, 705 26
Abstract:
A purchase record is accessed within a database of purchases. The purchase record includes a purchase date field and a purchase price field, respectively indicating a purchase date and a purchase price of a first item purchased from a seller by a purchaser. At a determination module located at a machine, a presentation delay interval is determined using the machine, the purchase date, and the purchase price. After expiration of the presentation delay interval, an advertisement is communicated to a device of the purchaser. The advertisement advertises a second item to replace the first item.

Enhanced Campaign Management Systems And Methods

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US Patent:
20100153196, Jun 17, 2010
Filed:
Nov 12, 2009
Appl. No.:
12/617562
Inventors:
Jedediah H. Paulson - San Mateo CA, US
Nella Shapiro - Mountain View CA, US
Sandeep K. Tukhar - Sunnyvale CA, US
Kelly Xinxin Wu - San Jose CA, US
International Classification:
G06F 7/10
G06F 17/30
G06Q 30/00
US Classification:
705 1413, 707769, 705 141, 707E17014, 707E1701, 707825, 707705, 707E17005
Abstract:
One exemplary embodiment of the disclosure provides a method to publish campaign data in an electronic environment. The exemplary method includes querying a database to select campaign metadata ready to publish to a target channel system and determining a plurality of value users as a subset of all end users. The value users are determined so that one or more coupons are automatically generated and distributed to each of the value users. A value of the coupon is based on a set of pre-defined criteria including a volume of business generated by the value user or how negatively impacted the value user was based on a negative purchase experience (e.g., product not as described or never received). The target channel system is selected from a plurality of channel systems based on a target indicating attribute of the campaign metadata. The packaged campaign metadata is transferred to the target channel system.
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Sandeep K Tukhar from Sunnyvale, CA, age ~48 Get Report