BTL Industries Feb 2009 - Jun 2011
Account Executive
Akorn Inc. Nov 2007 - Jan 2009
Pharmaceutical Sales Reprensentative
Saveology.com ™ Oct 2001 - Dec 2007
Sales Representative
Education:
Rutgers, The State University of New Jersey-Newark
Bachelor of Science, Finance
Skills:
Sales Management Sales Pharmaceutical Industry Cold Calling Pharmaceutical Sales Medical Devices Capital Equipment
Mar 2014 to Apr 2014 QA TesterThin Films, Air Liquide Fremont, CA Nov 2012 to Mar 2014 Chemical TechnicianThreshold Enterprise Ltd Scotts Valley, CA Nov 2011 to Nov 2012 Lab AnalystFabrication, Kulite Semiconductors Inc Leonia, NJ Jun 2008 to May 2011 Laser Operator
Education:
Portnov Computer School Los Altos, CA 2014 to 2014 Information TechnologyNew Jersey Institute of Technology Newark, NJ 2011 MS in Chemistry
Kulite Semiconductors Inc Leonia, NJ Jun 2008 to May 2011 Laser OperatorSarabhai Chemicals Pvt. Ltd
Nov 2006 to Nov 2006 TraineeProjects And Thesis
Education:
New Jersey Institute of Technology Newark, NJ Jan 2009 to Jan 2011 Master of Science in ChemistryThe Maharaja Sayajirao University of Baroda Vadodara, Gujarat Jan 2006 to Jan 2007 Master of Science in ChemistrySardar Patel University Vallabhvidyanagar, India Jan 2003 to Jan 2006 Bachelor of Science in Chemistry
Carilion Clinic Roaoke Memorial Hospital Internal Medicine 1906 Belleview Ave SE, Roanoke, VA 24014 (540)9817000 (phone), (540)9838229 (fax)
Education:
Medical School M P Shah Med Coll, Saurashtra Univ, Jamnagar, Gujarat, India Graduated: 2008
Languages:
English
Description:
Dr. Joshi graduated from the M P Shah Med Coll, Saurashtra Univ, Jamnagar, Gujarat, India in 2008. He works in Roanoke, VA and specializes in Internal Medicine. Dr. Joshi is affiliated with Carilion Roanoke Memorial Hospital.
- New York NY, US Carmen Patricia Argüello - New York NY, US Sandeep Bose - Scottsdale AZ, US Kunal Chandrashekhar Joshi - Jersey City NJ, US Matthew Kent Meyer - Brooklyn NY, US Marimuthu Ponnambalam - Phoenix AZ, US Himanshu Prabhakar - Bayonne NJ, US Gurusamy Ramasamy - Princeton NJ, US Jeremy D. Seideman - Brooklyn NY, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06F 17/30 G06F 8/10 G06F 8/30
Abstract:
A system may receive a request to derive an output variable from a source variable. The request may include proposed logic to derive the output variable from the source variable. The system may then compare the proposed logic to existing logic to determine the proposed logic is new. In response to the proposed logic being new, the system may generate transformation code configured to execute the proposed logic. The system may further schedule the transformation code for execution at a predetermined time, and then execute the transformation code to generate data for the output variable.
- New York NY, US Ravi Arasan - Basking Ridge NJ, US Atul R. Dalmia - Jersey City NJ, US Pratiksha M. Jogani - Jersey City NJ, US Kunal C. Joshi - Jersey City NJ, US Ravi Kaushik - Westwood NJ, US Himanshu Prabhakar - Bayonne NJ, US Kandarp Srivastava - New York NY, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06F 17/30
Abstract:
The process includes receiving a data set comprising a plurality of rows and a plurality of columns, and applying a first rule based decisioning to the data set to generate a first layer of metadata that comprises at least one of a key, a type indicator, a categorical indicator, and/or a continuous indicator. The first layer of metadata may be descriptive of the data set. The processor may further apply a second rule based decisioning to the first layer to generate a second layer that includes at least one of the key, the type indicator, the categorical indicator, or the continuous indicator. The second layer may be descriptive of the first layer. The process may also include generating an output file from at least one of the first layer or the second layer.
Systems And Methods For Role-Based File Access Control
- New York NY, US Kunal Joshi - Jersey City NJ, US Matthew Meyer - Brooklyn NY, US Jeremy Seideman - Brooklyn NY, US
Assignee:
AMERICAN EXPRESS TRAVEL RELATED SERVICES COMPANY, INC. - New York NY
International Classification:
G06F 21/62 G06F 17/30 H04L 29/06
Abstract:
A system for applying access permissions to read requests may write a file to a storage media. The file may contain data, an embedded flag, and an embedded verification datum of the embedded flag. The embedded flag may indicate an access permissions requisite for file access. The system may also receive a request to access the file from a user and retrieve an access permission for the user. The system may also compare the embedded flag to the access permission for the user to determine the user has permission to access the file. A verification datum may be calculated, and the calculated verification datum may be compared to the embedded verification datum to determine the embedded flag has not changed.
System And Method Transforming Source Data Into Output Data In Big Data Environments
- New York NY, US Carmen Patricia Argüello - New York NY, US Sandeep Bose - Scottsdale AZ, US Kunal Chandrashekhar Joshi - Jersey City NJ, US Matthew Kent Meyer - Brooklyn NY, US Marimuthu Ponnambalam - Phoenix AZ, US Himanshu Prabhakar - Bayonne NJ, US Gurusamy Ramasamy - Princeton NJ, US Jeremy D. Seideman - Brooklyn NY, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06F 17/30 G06F 9/44
Abstract:
A system may receive a request to derive an output variable from a source variable. The request may include proposed logic to derive the output variable from the source variable. The system may then compare the proposed logic to existing logic to determine the proposed logic is new. In response to the proposed logic being new, the system may generate transformation code configured to execute the proposed logic. The system may further schedule the transformation code for execution at a predetermined time, and then execute the transformation code to generate data for the output variable.
System And Method For Creating, Tracking, And Maintaining Big Data Use Cases
- New York NY, US Carmen Patricia Argüello - New York NY, US Sandeep Bose - Scottsdale AZ, US Kunal Chandrashekhar Joshi - Jersey City NJ, US Matthew Kent Meyer - Brooklyn NY, US Himanshu Prabhakar - Bayonne NJ, US Gurusamy Ramasamy - Princeton NJ, US Jeremy D. Seideman - Brooklyn NY, US Roopesh R. Varier - Santa Clara CA, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06F 21/60 G06F 9/44
Abstract:
A system may register a use case with the use case including an application. An application identifier may be assigned to the application. The system may generate a transformation associated with the use case. The transformation may include logic to derive an output variable from a source variable. The system may also execute the transformation to derive output data for the output variable from source data of the source variable. The system may further lookup an access permission for the application using the application identifier in response to an access request.
System And Method For Recursive Metadata Layers On Big Data Sets
- New York NY, US Ravi Arasan - Basking Ridge NJ, US Atul R. Dalmia - Jersey City NJ, US Pratiksha M. Jogani - Jersey City NJ, US Kunal C. Joshi - Jersey City NJ, US Ravi Kaushik - Westwood NJ, US Himanshu Prabhakar - Bayonne NJ, US Kandarp Srivastava - New York NY, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06F 17/30
Abstract:
The process includes receiving a data set comprising a plurality of rows and a plurality of columns, and applying a first rule based decisioning to the data set to generate a first layer of metadata that comprises at least one of a key, a type indicator, a categorical indicator, and/or a continuous indicator. The first layer of metadata may be descriptive of the data set. The processor may further apply a second rule based decisioning to the first layer to generate a second layer that includes at least one of the key, the type indicator, the categorical indicator, or the continuous indicator. The second layer may be descriptive of the first layer. The process may also include generating an output file from at least one of the first layer or the second layer.
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