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Ajay Shekhawat Phones & Addresses

  • 2563 15Th Ave, San Francisco, CA 94127
  • 80 Sanchez St APT 7, San Francisco, CA 94114
  • 615 Bird Ave, Buffalo, NY 14222
  • 1525 Amherst Manor Dr, Buffalo, NY 14221
  • 28 Durham Ave, West Amherst, NY 14228 (716) 689-7586
  • Williamsville, NY
  • San Carlos, CA
  • Amherst, NY

Resumes

Resumes

Ajay Shekhawat Photo 1

Chief Operations Officer

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Location:
San Francisco, CA
Industry:
Real Estate
Work:
Kolte-Patil Developers Limited
Management Trainee

Calsoft Apr 2015 - Jul 2015
Intern

Apr 2015 - Jul 2015
Chief Operations Officer
Education:
Flame University 2014 - 2016
Devi Ahilya Vishwavidyalaya 2010 - 2013
Bachelors, Bachelor of Arts, Communication, Journalism
Birla Public School,Pilani 2008 - 2010
Languages:
English
Hindi
Spanish
Ajay Shekhawat Photo 2

National Head - General Trade

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Location:
San Francisco, CA
Industry:
Hospital & Health Care
Work:
Explore Edu Tech Private Limited Oct 2017 - Aug 2018
Director - Sales and Sourcing

Fortis Healthcare Oct 2017 - Aug 2018
National Head - General Trade

Foliation Services Jan 2015 - Oct 2017
Business Advisor

Oxigen Services India Pvt Ltd Mar 2013 - Jul 2015
Assistant Vice President- Product Management

Aircel Feb 2012 - Dec 2012
Circle Devices Head
Education:
Indian School of Business 2017 - 2017
University at Buffalo Aug 1987 - 1997
Doctorates, Doctor of Philosophy, Computer Science
Birla Institute of Technology and Science, Pilani Aug 1983 - 1987
Indian School of Business 1965 - 1969
St. Paul's School
University of Rajasthan
Bachelors, Bachelor of Science
Maharajas College, University of Rajasthan
Bachelors, Bachelor of Science
St Columbas School, New Delhi
Maharishi International University
Master of Business Administration, Masters, Marketing, International Business
The Army Public School
Skills:
Machine Learning
Data Mining
Pattern Recognition
Algorithms
Hadoop
Mapreduce
Scalability
Distributed Systems
Artificial Intelligence
Big Data
Computer Science
Information Retrieval
Perl
Search
R
Networking
Text Mining
Predictive Modeling
Sentiment Analysis
Embedded Systems
Weka
Team Management
Telecommunications
Business Development
Sales
Crm
Cross Functional Team Leadership
Business Strategy
Channel
Retail
Operations Management
Strategy
Team Building
Training
Distributed Team Management
Team Leadership
Market Research
Product Management
Customer Relationship Management
Mis
Sales Management
Business Planning
Competitive Analysis
Negotiation
Customer Service
Product Marketing
Account Management
Start Ups
Sales Operations
Channel Partners
Management Information Systems
Customer Lifecycle Management
P&L Management
Selling
Key Account Management
Vendor Management
Management
Channel Sales
Interests:
Civil Rights and Social Action
Animal Welfare
Science and Technology
Politics
Languages:
Hindi
English
Gujarati
Japanese
Ajay Shekhawat Photo 3

Ajay Shekhawat

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Ajay Shekhawat Photo 4

Ajay Shekhawat

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Ajay Shekhawat Photo 5

Ajay Shekhawat

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Ajay Shekhawat Photo 6

Ajay Shekhawat

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Ajay Shekhawat Photo 7

Ajay Shekhawat

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Position:
Senior Technical Yahoo! at Yahoo! Inc.
Location:
San Francisco Bay Area
Industry:
Computer Software
Work:
Yahoo! Inc. since Jun 2005
Senior Technical Yahoo!

Ceredyn Systems Inc. Nov 2004 - May 2005
CTO

University at Buffalo Sep 1997 - Oct 2004
Sr. Research Scientist

University at Buffalo Aug 1992 - Sep 1997
Research Scientist
Education:
University at Buffalo Aug 1987 - Aug 1997
Ph.D., Computer Science
BITS Pilani Aug 1983 - May 1987
B.Engg., Mechanical Engineering
Skills:
Machine Learning
Pattern Recognition
Embedded Systems
Networking

Publications

Us Patents

Techniques For Categorizing Search Queries

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US Patent:
20100257171, Oct 7, 2010
Filed:
Apr 3, 2009
Appl. No.:
12/418112
Inventors:
Ajay Shekhawat - San Francisco CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 17/30
G06Q 30/00
US Classification:
707738, 707E17014, 707E17032, 707771
Abstract:
Methods and apparatus are described to automatically categorize search queries. According to specific embodiments, this is accomplished by comparing search results responsive to an uncategorized query with search results responsive to queries in a categorized set. Search results from the categorized set are assigned categories and weights corresponding to the queries which produced them. Matches with search results for the uncategorized query are located in this data, and the corresponding categories and weights associated with the uncategorized query. These techniques can be applied to improve the relevancy of organic search results, sponsored search results, advertisements, marketing communications, news articles, and other types of content on both the provider's websites and other websites.

System And Method For Recommending New Connections In An Advertising Exchange

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US Patent:
20120265588, Oct 18, 2012
Filed:
Apr 12, 2011
Appl. No.:
13/085390
Inventors:
Ashvin Kannan - Sunnyvale CA, US
Ajay Shekhawat - San Francisco CA, US
International Classification:
G06Q 30/00
US Classification:
705 144
Abstract:
A method, system and computer readable medium for recommending new connections in an advertising exchange. The method identifies participants that share some similarity (e.g. a pre-existing advertising relationship), and on the basis of the features and extent of a similarity, and then suggests or recommends other relationships that can also be shared. The method commences by enumerating a set of producer participants and by enumerating a set of consumer participants where at least two of the members of the set of consumer participants has an ad relationship to at least one of the producer participants. Then, on the basis of a selected feature quantity the extent of the similarity is calculated. When it is found that one consumer is similar to a second consumer (by virtue of at least one shared ad relationship), then the system recommends to the participants one or more additional ad relationships that can be established.

Per Colo Distribution In Online Advertising

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US Patent:
20130275206, Oct 17, 2013
Filed:
Apr 11, 2012
Appl. No.:
13/444268
Inventors:
Ajay Shekhawat - San Francisco CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/02
US Classification:
705 1443
Abstract:
Techniques are provided that utilize online advertising traffic patterns at multiple geographically distributed data centers to make predictions about future traffic at the data centers, and use the predicted patterns in optimizing proportioning or allocation of an advertising budget between each of the data centers. For each of multiple geographically distributed data centers, a set of traffic data may be obtained, relating to past online advertising traffic at the data center. For each of the data centers, the set of traffic data is used in determining a prediction of online advertising traffic at the data center of a future period of time, which may include determining and utilizing a traffic pattern function for the data center. Using the prediction for each of the data centers, an optimized allocation is performed of an advertiser's online advertising budget over a future period of time between each of the data centers.

Centralized And Aggregated Tracking In Online Advertising Performance Prediction

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US Patent:
20130325590, Dec 5, 2013
Filed:
May 31, 2012
Appl. No.:
13/485532
Inventors:
Ajay SHEKHAWAT - San Francisco CA, US
Eren Manavoglu - Menlo Park CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/02
US Classification:
705 1443
Abstract:
The present invention provided techniques that may be used, for example, in online advertising. Techniques are provided that include centralized and aggregated advertisement performance data tracking, which can be used in advertisement selection. Advertisement performance data may be obtained by a central server, such as from many advertisement servers. The central server may aggregate the performance data, and may generate a performance snapshot spanning many advertisements. The snapshot may be used in generating a performance prediction model, which may in turn be used in advertisement selection, or monitoring or tracking associated with advertising. Elements or actions, such as obtaining of performance data, aggregation, generation of the snapshot, and generation of the model, may include frequent or real time updating of such elements or actions.

System For Providing Content

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US Patent:
20130325601, Dec 5, 2013
Filed:
Jun 5, 2012
Appl. No.:
13/488542
Inventors:
Ajay Shekhawat - San Francisco CA, US
Adam Cahan - San Francisco CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/02
US Classification:
705 1449
Abstract:
A computer-implemented method serves content to a device. The method includes identifying a characteristic of content displayed with a first device. Through the use of a processor, the characteristic is compared with a campaign constraint of an advertising campaign that includes an advertisement. The method includes transmitting the advertisement to a second device for display when the characteristic satisfies the campaign constraint.

Apparatus, System, And Method For Music Identification

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US Patent:
20140032537, Jan 30, 2014
Filed:
Jul 30, 2012
Appl. No.:
13/562311
Inventors:
Ajay Shekhawat - San Francisco CA, US
International Classification:
G06F 17/30
US Classification:
707723, 707E17015
Abstract:
Embodiments disclosed herein may relate to identifying music from a text source utilizing a computing platform in a communication system.

Method And Apparatus For Analyzing And/Or Comparing Handwritten And/Or Biometric Samples

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US Patent:
7580551, Aug 25, 2009
Filed:
Jun 30, 2003
Appl. No.:
10/611329
Inventors:
Sargur Srihari - Williamsville NY, US
Yong-Chul Shin - Williamsville NY, US
Sangjik Lee - Buffalo NY, US
Venugoal Govindaraju - Williamsville NY, US
Catalin I. Tomai - Tonawanda NY, US
Bin Zhang - Tonawanda NY, US
Ajay Shekhawat - Buffalo NY, US
Dave Bartnik - Elma NY, US
Srirangaraj Setlur - Getzville NY, US
Phil Kilinskas - East Amherst NY, US
Fred Kunderman - Niagara Falls NY, US
Xia Liu - Williamsville NY, US
Zhixin Shi - Williamsville NY, US
Vemulapati Ramanaprasad - Amherst NY, US
Assignee:
The Research Foundation of State University of NY - Amherst NY
International Classification:
G06K 9/00
US Classification:
382115, 340 552, 340 582, 382186, 382187, 382218, 382225
Abstract:
A computer based method of biometric analysis which compares a first vector from a first biometric sample with a second vector from a second biometric sample. The vectors have at least one biometric feature. A method which compares two biometric samples. The samples form at least one cluster of at least one vector based on feature similarities between the samples. An apparatus incorporating a means for performing the method taught herein. A computer-readable medium and a propagated computer data signal transmitted via a propagation medium, with instructions which when executed by a processor, carry out the method of the present invention. A method of handwriting analysis which calculates a first metric from a first vector having at least one feature from a sample, calculates a second metric from a second vector having at least one feature from a second sample, and calculates the distance in two-dimensional feature space between metrics.
Ajay Singh Shekhawat from San Francisco, CA, age ~58 Get Report