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Ketan K Thakkar

from Fremont, CA
Age ~54
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Also known as:
Ketan Phakkar
Phone and address:
1377 Hardy Pl, Fremont, CA 94536
Related to:
Vishwesh ThakkarNikhil M Thakkar, 57Sonal K Thakkar, 51Kajal K ThakkarDeepesh Thakkar, 51Jayantilal R Thakkar, 85Surya J Thakkar, 82Jayashree R Raju, 59Anju Whig, 55
Connected to:
Ameet A Thakkar, 47Amrita S Thakkar, 76Anand N Thakkar, 38Aneri Thakkar, 29Aniket Thakkar, 36Archan R Thakkar, 34Arjun B Thakkar, 29Arpita K Thakkar, 43Arti R Thakkar, 56Asha D Thakkar, 62

Ketan Thakkar Phones & Addresses

  • 1377 Hardy Pl, Fremont, CA 94536
  • 1540 White Birch Ter, Fremont, CA 94536
  • 4205 Mowry Ave, Fremont, CA 94538
  • 3635 Artesia Blvd, Torrance, CA 90504
  • Glenmora, LA
  • 2360 Harbor Blvd, Costa Mesa, CA 92626
  • Alameda, CA
  • Iselin, NJ
  • 4205 Mowry Ave APT 62, Fremont, CA 94538

Resumes

Resumes

Ketan Thakkar Photo 1

Ketan Thakkar

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Location:
San Francisco, CA
Industry:
Information Technology And Services
Work:
Polaris Financial Technology Limited
Executive
Skills:
Pre Sales
Vendor Management
Banking
Business Analysis
Software Project Management
Requirements Analysis
Management
It Strategy
Outsourcing
Solution Selling
Product Management
Sdlc
Erp
Business Process
Program Management
Business Development
Account Management
Project Management
Global Delivery
Consulting
Team Management
Enterprise Software
Selling
Solution Architecture
Crm
Software Development Life Cycle
Ketan Thakkar Photo 2

Ketan Thakkar

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Ketan Thakkar Photo 3

Ketan Thakkar

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Ketan Thakkar Photo 4

Ketan Thakkar

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Ketan Thakkar Photo 5

Lab Technician At Pioneer Pharmacy Degree College

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Position:
Lab Technician at Pioneer Pharmacy Degree College
Location:
Other
Industry:
Chemicals
Work:
Pioneer Pharmacy Degree College
Lab Technician

Publications

Us Patents

Contextual Search Ranking Using Entity Topic Representations

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US Patent:
20200402015, Dec 24, 2020
Filed:
Jun 19, 2019
Appl. No.:
16/446364
Inventors:
- Redmond WA, US
Gio Carlo C. Borje - Sunnyvale CA, US
Sahin C. Geyik - Redwood City CA, US
Gurwinder S. Gulati - San Francisco CA, US
Ketan Thakkar - Sunnyvale CA, US
Assignee:
Microsoft Technology Licensing, LLC - Redmond WA
International Classification:
G06Q 10/10
G06F 16/2457
G06N 20/00
Abstract:
The disclosed embodiments provide a system for processing data. During operation, the system obtains a first embedding generated by a topic model from parameters of searches by a first recruiting entity and obtains a set of additional embeddings generated by the topic model from attributes of a set of candidates. Next, the system determines match features that include measures of similarity between the first embedding and each embedding in the set of additional embeddings. The system then applies a machine learning model to the match features and additional features for the candidates to produce a set of scores for the candidates. Finally, the system generates a ranking of the candidates according to the scores and outputs at least a portion of the ranking as search results of a current search by the first recruiting entity.

Feature Engineering Of Recent Candidate Activity

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US Patent:
20200311685, Oct 1, 2020
Filed:
Mar 28, 2019
Appl. No.:
16/367838
Inventors:
- Redmond WA, US
Tanvi Sudarshan Motwani - Santa Clara CA, US
Ketan Thakkar - Sunnyvale CA, US
Erik Buchanan - Sunnyvale CA, US
Assignee:
Microsoft Technology Licensing, LLC - Redmond WA
International Classification:
G06Q 10/10
G06N 20/00
G06N 3/04
Abstract:
The disclosed embodiments provide a system for processing data. During operation, the system determines activity features for candidates that match parameters of a search, wherein the activity features include a first amount of time since a most recent visit by a candidate to an online platform used to conduct interaction between the candidate and moderators of opportunities. Next, the system applies a machine learning model to the activity features and candidate features for the candidates to produce a first set of scores between the candidates and the parameters. The system then generates a ranking of the candidates according to the first set of scores. Finally, the system outputs at least a portion of the ranking as search results of the search.

User Notifications Based On Project Context

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US Patent:
20200005216, Jan 2, 2020
Filed:
Jun 29, 2018
Appl. No.:
16/023330
Inventors:
- Redmond WA, US
Wenxiang Chen - Sunnyvale CA, US
Declan Paul Boyd - San Francisco CA, US
Ketan Thakkar - Santa Clara CA, US
Qi Guo - Sunnyvale CA, US
Patrick Cheung - San Francisco CA, US
Jonathan Pohl - Redwood City CA, US
Christine Liao - Oakland CA, US
International Classification:
G06Q 10/06
G06Q 10/10
G06F 17/30
H04L 29/08
Abstract:
Disclosed herein are systems, methods, and non-transitory computer-readable media for providing user notifications based on a project context. The system may receive candidate attributes from candidate devices of a plurality of candidates and storing them in a candidate database, as well as user-entered attributes from a user device of a user. The system may then iteratively execute a number of operations that include performing a search for candidates in the candidate database by comparing project attributes with candidate attributes and providing user notification of newly-matched candidates that includes returning returned candidates that are matching candidates of the search results to the user based on the search. The system may generate context attributes from a context attribute source that include at least one of the user-entered attributes, candidate attributes of the returned candidates, candidate attributes of the selected candidate, candidate attributes of historical candidates, or project attributes of an additional project.

Query Expansion For Candidate Selection

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US Patent:
20190287070, Sep 19, 2019
Filed:
Mar 15, 2018
Appl. No.:
15/922732
Inventors:
- Redmond WA, US
Vijay Dialani - Fremont CA, US
Sahin Cem Geyik - Redwood City CA, US
Benjamin John McCann - Mountain View CA, US
Ketan Thakkar - Santa Clara CA, US
Patrick Cheung - San Francisco CA, US
Nadeem Anjum - Santa Clara CA, US
David DiCato - San Francisco CA, US
International Classification:
G06Q 10/10
G06F 17/30
Abstract:
Systems and methods for query expansion are disclosed. In some examples, a server receives, from a client device, a search query for employment candidates, the search query comprising a first set of parameters. The server determines a second set of parameters related to the first set of parameters in response to identifying a second parameter for the second set of parameters that corresponds with a first parameter from the first set of parameters, the professional records being stored in a professional data repository. The server generates, from the professional data repository, a first set of search results based on the first set of parameters and the second set of parameters. The server provides, to the client device, an output representing the first set of search results.

Context Aware Dynamic Candidate Pool Retrieval And Ranking

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US Patent:
20190050813, Feb 14, 2019
Filed:
Aug 8, 2017
Appl. No.:
15/671144
Inventors:
- Sunnyvale CA, US
Xianren Wu - San Jose CA, US
Bo Hu - Mountain View CA, US
Yan Yan - San Jose CA, US
Ketan Thakkar - Santa Clara CA, US
Shan Zhou - San Jose CA, US
Anish Ramdas Nair - Mumbai, IN
Patrick Cheung - San Francisco CA, US
International Classification:
G06Q 10/10
G06N 99/00
G06F 17/30
Abstract:
Disclosed in some examples are methods, systems, and machine readable mediums which provide for retrieval, ranking, and display of candidates that are more likely to respond to employment inquiries in an employment search graphical user interface (GUI). The system may employ a machine learning algorithm which may calculate a score for each member of the social networking service that predicts, based upon one or more features how likely the individual is to respond to a message. In some examples, the candidates that are determined to be more likely to respond may be presented as a selectable option in the GUI.

Dynamic Candidate Pool Retrieval And Ranking

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US Patent:
20190052720, Feb 14, 2019
Filed:
Aug 8, 2017
Appl. No.:
15/671148
Inventors:
- Sunnyvale CA, US
Xianren Wu - San Jose CA, US
Yan Yan - San Jose CA, US
Bo Hu - Mountain View CA, US
Ketan Thakkar - Santa Clara CA, US
Shan Zhou - San Jose CA, US
Anish Ramdas Nair - Mumbai, IN
Patrick Cheung - San Francisco CA, US
International Classification:
H04L 29/08
G06F 17/30
Abstract:
Disclosed in some examples are methods, systems, and machine readable mediums which provide for retrieval, ranking, and display of candidates that are more likely to respond to employment inquiries in an employment search graphical user interface (GUI). The system may employ a machine learning algorithm which may calculate a score for each member of the social networking service that predicts, based upon one or more features how likely the individual is to respond to a message. In some examples, the candidates that are determined to be more likely to respond may be presented as a selectable option in the GUI.
Control profile
Ketan K Thakkar from Fremont, CA, age ~54 Get Report