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Abhishek Chandra Phones & Addresses

  • Tustin, CA
  • Irvine, CA
  • Jersey City, NJ
  • Fort Worth, TX
  • Parsippany, NJ
  • New York, NY

Work

Company: Knight capital group Aug 2009 Position: Assistant vice-president

Education

School / High School: IIT-Varanasi (IT-BHU)- Varanasi, Uttar Pradesh 1998 Specialities: Bachelor of Technology in Electrical Engineering

Languages

English

Specialities

Dentistry

Professional Records

Medicine Doctors

Abhishek Chandra Photo 1

Dr. Abhishek Chandra, Old Bridge NJ - DMD (Doctor of Dental Medicine)

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Specialties:
Dentistry
Address:
2515 Highway 516, Old Bridge, NJ 08857
(732) 679-3600 (Phone)
Languages:
English

Resumes

Resumes

Abhishek Chandra Photo 2

Abhishek Chandra

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Location:
United States
Abhishek Chandra Photo 3

Abhishek Chandra

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Location:
United States
Abhishek Chandra Photo 4

Abhishek Chandra

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Location:
United States
Abhishek Chandra Photo 5

Abhishek Chandra

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Abhishek Chandra Photo 6

Abhishek Chandra

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Abhishek Chandra Photo 7

Abhishek Chandra

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Abhishek Chandra Photo 8

Abhishek Chandra Manalapan, NJ

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Work:
Knight Capital Group

Aug 2009 to Present
Assistant Vice-President

Metavante corp
Edison, NJ
Jan 2008 to Jul 2009
Program/ business analyst

Infosys Tech ltd.
New York, NY
Aug 2002 to Jan 2008
Program Analyst

Education:
IIT-Varanasi (IT-BHU)
Varanasi, Uttar Pradesh
1998 to 2002
Bachelor of Technology in Electrical Engineering

Business Records

Name / Title
Company / Classification
Phones & Addresses
Abhishek Chandra
Family And General Dentistry, Principal
Chandra Abhishek
Dentist's Office · Nonclassifiable Establishments
2515 Hwy 516, Old Bridge, NJ 08857
Abhishek Chandra
Chandra, Dr. Abhishek
Dentists
515 Hwy 516, Old Bridge, NJ 08857
(732) 679-3600

Publications

Us Patents

Ensuring Treatment Initiation

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US Patent:
20180315495, Nov 1, 2018
Filed:
Apr 28, 2018
Appl. No.:
15/965918
Inventors:
- Brooklyn NY, US
Abhishek Chandra - Brooklyn NY, US
International Classification:
G16H 20/10
G16H 50/30
G16H 80/00
Abstract:
Methods and systems for ensuring patient initiation of a treatment regime. A patient may provide one or more patient parameters including, for example, medical history of the patient, socio-demographic data of the patient, and behavioral health symptoms of the patient. An engagement model may then predict whether the patient is likely to initiate a treatment regime, as well as the reasons why the patient may not initiate the treatment regime. Clinicians may then take appropriate steps to ensure the patient initiates treatment.
Abhishek R Chandra from Tustin, CA Get Report