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Abhijit Bose, 58Short Hills, NJ

Abhijit Bose Phones & Addresses

Short Hills, NJ   

Springfield, NJ   

Jersey City, NJ   

New York, NY   

Paramus, NJ   

Ann Arbor, MI   

Fort Worth, TX   

Matawan, NJ   

Berlin, NJ   

47 Harmon Dr, Paramus, NJ 07652   

Education

Degree: Associate degree or higher

Mentions for Abhijit Bose

Abhijit Bose resumes & CV records

Resumes

Abhijit Bose Photo 19

East Coast Head Of Engineering Facebook Ai Research

Location:
215 west 101St St, New York, NY 10025
Industry:
Internet
Work:
American Express - New York, NY since Feb 2013
Vice President, Data Science
American Express - Greater New York City Area Apr 2012 - Feb 2013
Director, Data Science
Google - Mountain View, CA Apr 2011 - Apr 2012
Sr. Data Scientist (Google+)
Google - Mountain View, CA Sep 2010 - Mar 2011
Manager
IBM Research Jul 2006 - Aug 2010
Research Scientist and Manager
University of Michigan Apr 1999 - Jun 2006
Associate Director and Scientist
Bell Labs, Lucent Aug 1996 - Mar 1999
Member of Technical Staff
TATA Exports Limited Jun 1989 - Mar 1990
Manufacturing Engineer
Education:
University of Michigan 2003 - 2007
PhD, Computer Science and Engineering
University of Michigan 2002 - 2003
MS, Computer Science
The University of Texas at Austin 1993 - 1996
PhD, Engineering Mechanics, specialization in Computational Mathematics
University of Kansas 1991 - 1993
MS, Mechanical Engineering
Jadavpur University
Bachelor of Engineering, Mechanical Engineering
Skills:
Data Mining, Machine Learning, Algorithms, Big Data, Hadoop, Python, Analytics, Distributed Systems, Software Development, Mapreduce, Java, Data Analysis, R, Business Intelligence, C++, Computer Science, Data Modeling, Analysis, Cloud Computing, Programming, Parallel Computing, Project Management, Sdlc, Data Science, Simulations, Pro Active Leader, Professional Mentoring, Large Scale Systems, Unix, Optimization, Computational Mathematics, Decision Trees, Technical Project Leadership, Scalability, High Performance Computing, Protocol Buffers
Interests:
Animal Welfare
Education
Science and Technology
Languages:
Hindi
Bengali
English
Abhijit Bose Photo 20

Abhijit Bose

Abhijit Bose Photo 21

Analytics And Optimization Expert

Location:
Greater New York City Area
Industry:
Information Technology and Services

Publications & IP owners

Us Patents

Reduction Of Alerts In Information Technology Systems

US Patent:
8380838, Feb 19, 2013
Filed:
Apr 8, 2011
Appl. No.:
13/082786
Inventors:
Abhijit Bose - Paramus NJ, US
Winnie Wing-Yee Cheng - Tarrytown NY, US
Shang Qing Guo - Cortlandt Manor NY, US
Sang Kyum Kim - Urbana IL, US
Laura Zaihua Luan - Scarsdale NY, US
Daniela Rosu - Ossining NY, US
Mithkal M. Smadi - Round Rock TX, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 15/16
US Classification:
709223, 709224, 714 41, 714 57
Abstract:
Aspects of the present invention dynamically reduce a frequency at which IT infrastructure automatically generates alerts. Historical data across a plurality of data sources in the IT infrastructure is analyzed. An opportunity to reduce the frequency at which the IT infrastructure automatically generates the alerts is identified. A new alert policy addressing the opportunity to reduce alert frequency is generated. An impact of the new alert policy on a set of predefined service level objectives (SLOs) and service level agreements (SLAs) is evaluated. The new alert policy is deployed in the IT infrastructure.

Method For Dispatching Service Requests

US Patent:
8385534, Feb 26, 2013
Filed:
Apr 16, 2008
Appl. No.:
12/103769
Inventors:
Nikolaos Anerousis - Chappaqua NY, US
Abhijit Bose - Paramus NJ, US
Aliza R. Heching - Bergenfield NJ, US
Milton H. Hernandez - Tenafly NJ, US
Hani T. Jamjoom - White Plains NY, US
Hoda Parvin - Ann Arbor MI, US
Sreeram Ramakrishnan - Yorktown Heights NY, US
Debanjan Saha - Mohegan Lake NY, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
H04M 3/00
H04M 5/00
US Classification:
37926511, 37926512, 37926513
Abstract:
Techniques for dispatching one or more services requests to one or more agents are provided. The techniques include obtaining one or more attributes of each service request, obtaining one or more attributes of each agent, obtaining feedback from each of one or more agent queues, and using the one or more attributes of each service request, the one or more attributes of each agent and the feedback from each of the one or more agent queues to determine one or more suitable agents to receive a dispatch for each of the one or more service requests. Techniques are also provided for generating a database of one or more attributes of one or more service requests and one or more attributes of one or more agents.

Evaluation Of A Process Metric

US Patent:
2009004, Feb 12, 2009
Filed:
Aug 6, 2007
Appl. No.:
11/834328
Inventors:
Nikolaos Anerousis - Chappaqua NY, US
Abhijit Bose - Paramus NJ, US
Debanjan Saha - Mohegan Lake NY, US
Larisa Shwartz - Scarsdale NY, US
Shu Tao - White Plains NY, US
International Classification:
G06Q 10/00
US Classification:
705 7
Abstract:
An exemplary method of responding to a request for a value of at least one metric associated with at least one process includes a step of determining whether responding to the request requires updating the value of the at least one metric. When responding to the request does not require updating the value of the at least one metric, a response is determined based at least in part on at least one stored value of the at least one metric. When responding to the request does require updating the value of the at least one metric, the value of the at least one metric is updated and a response is determined based at least in part on the at least one updated value of the at least one metric. Updating the value of the at least one metric, at least when responding to the request requires updating the value of the at least one metric, includes steps of determining at least one new value of the at least one metric based at least in part on at least one stored value of the at least one metric and storing the at least one new value of the at least one metric. The method also includes a step of responding to the request with the determined response.

Method And System For Discerning Learning Characteristics Of Individual Knowledge Worker And Associated Team In Service Delivery

US Patent:
2010000, Jan 7, 2010
Filed:
Jul 2, 2008
Appl. No.:
12/167196
Inventors:
Abhijit Bose - Paramus NJ, US
Hung-Yang Chang - Scarsdale NY, US
Sreeram Ramakrishnan - Yorktown Heights NY, US
Debanjan Saha - Mohegan Lake NY, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:
H04M 3/00
US Classification:
37926506
Abstract:
A method and system for measuring the learning ability and productivity of knowledge workers related to the delivery of services in service industry sectors, such as information technology (IT), healthcare and accounting. The method and system applies broadly to service domains that have a strong correlation between the learning ability and skill level of workers wherein the correlation affects the quality of service delivery. Utilizing data mining techniques, the method and system captures, analyzes and benchmarks individual knowledge worker's skill(s) in order to normalize individual service agent proficiencies. The normalized service agent proficiencies allows the relative learning and skill indices of the individual service agents to be determined such that the skills and learning abilities of individual service agents to be determined. The method and system allows best practices and training thresholds to be determined.

Method And System For Defining One Flow Models With Varied Abstractions For Scalable Lean Implementations

US Patent:
2010000, Jan 7, 2010
Filed:
Jul 2, 2008
Appl. No.:
12/167184
Inventors:
Abhijit Bose - Paramus NJ, US
Santhosh Babu Kumaran - Peekskill NY, US
Arjun Natarjan - Old Tappan NJ, US
Sreeram Ramakrishnan - Yorktown Heights NY, US
Debanjan Saha - Mohegan Lake NY, US
Ramendra K. Sahoo - Mohegan Lake NY, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:
G06F 9/44
US Classification:
718102
Abstract:
A method and system for representing one or more families of existing processes in a composite abstraction such that process improvement techniques can be implemented in a more scalable manner. The invention enables abstracting a set of pre-defined process models into a composite model that represents sufficient operational details while being compliant with process improvement techniques such as, but not limited to, Lean Six Sigma, Kaizen, and others (collectively “lean” techniques). The invention provides the ability to flexibly represent the operational and lean-related information in varied abstraction levels at different stages of the process as and when necessary. The invention provides the ability to dynamically generate and represent process models based on user-selected defining characteristics (or attributes) used for process “family” formation. This allows users to define process models based on a set of customized attributes deemed critical by that particular user, including the ability to prioritize the selected attributes.

System And Method For Social Network Routing For Request Matching In Enterprise Environments

US Patent:
2010001, Jan 14, 2010
Filed:
Jul 14, 2008
Appl. No.:
12/172637
Inventors:
Abhijit Bose - Paramus NJ, US
Hani T. Jamjoom - White Plains NY, US
Asheq Khan - Amherst NY, US
Debanjan Saha - Mohegan Lake NY, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06Q 10/00
US Classification:
705 9, 705 8
Abstract:
A plurality of requests for service are obtained, each of the requests specifying a description of work, at least one constraint, and at least one objective function. Each request is routed to a corresponding first target resource, according to a routing table, in a manner to satisfy the at least one constraint and the at least one objective function. Tracking is carried out to determine whether the first target resource accepts a given request, rejects the given request, or passes on the given request to a second resource. The routing table is updated based on the tracking.

Analyzing Parallel Topics From Correlated Documents

US Patent:
2011020, Aug 18, 2011
Filed:
Feb 18, 2010
Appl. No.:
12/708053
Inventors:
Nikolaos Anerousis - Chappaqua NY, US
Abhijit Bose - Paramus NJ, US
Jimeng Sun - White Plains NY, US
Duo Zhang - Urbana IL, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:
G06F 15/18
G06N 5/02
US Classification:
706 12, 706 52
Abstract:
Access is obtained to a parallel corpus including a problem corpus and a solution corpus. A first plurality of topics are mined from the problem corpus and a second plurality of topics are mined from the solution corpus. A transition probability from the first plurality of topics to the second plurality of topics is determined, to identify a most appropriate one of the topics from the solution corpus for a given one of the topics from the problem corpus.

Dynamic Data Aggregation From A Plurality Of Data Sources

US Patent:
2012013, May 24, 2012
Filed:
Nov 19, 2010
Appl. No.:
12/950809
Inventors:
Abhijit Bose - Paramus NJ, US
Mithkal M. Smadi - Round Rock TX, US
Jimeng Sun - White Plains NY, US
Chandra Kumar Velpuri - Bangalore, IN
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:
G06F 17/30
US Classification:
707718, 707E17017
Abstract:
A method for dynamically aggregating data is provided. A server device receives a subscriber request for a report based on a subset of metadata contained in a data dimensions catalog. The server device analyzes data aggregation requirements from a plurality of data sources for the report based on the subset of metadata defined in the subscriber request. The server device generates a data access plan for movement of data from the plurality of data sources based on the data aggregation requirements for the report. Then, the server device executes the data access plan to fetch the data from the plurality of data sources based on the data aggregation requirements for the report. A computer system and computer program product for dynamically aggregating data are also provided.

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