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Chad Michael Cumby

from Chicago, IL
Age ~45
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Also known as:
Chad M Cumby, Michael C Cumby, Miduturu Chandrasekhar
Phone and address:
3132 Sawyer Ave, Chicago, IL 60618
(773) 463-3401
Related to:
Raina F Cumby, 34Charles W Cumby, 69Polly B Cumby, 76Michael C Cumby, 73Robin R Slaven, 53Laura L Cumby, 62Julia P Cumby, 43
Connected to:
Brandon D Cumby, 45Jay T Cumby, 48Justin M Cumby, 34Scott G Cumby, 65Jill Cumer, 72Lupe H Cumer, 75Andrea Cumin, 40Joel T Cuminale, 56Lesley Cuminale, 38Susan L Cuming, 81

Chad Cumby Phones & Addresses

  • 3132 Sawyer Ave, Chicago, IL 60618 (773) 463-3401
  • 3124 Logan Blvd, Chicago, IL 60647 (773) 276-1317
  • 2430 Washtenaw Ave, Chicago, IL 60647
  • 204 Clark St, Champaign, IL 61820 (217) 355-0413
  • Western Springs, IL
  • Urbana, IL
  • Downers Grove, IL
  • 204 E Clark St APT 4, Champaign, IL 61820 (217) 370-6630

Work

Company: Accenture Jul 2003 to Sep 2011 Position: Researcher

Education

School / High School: University of Illinois at Urbana - Champaign 1997 to 2003

Skills

Machine Learning • Predictive Analytics • Data Mining • Analytics • Predictive Modeling • Artificial Intelligence • Python • Java • Text Mining • Algorithms • Statistical Modeling • Linux • Data Analysis • Computer Science • Data Visualization • Natural Language Processing • Git • Latex

Industries

Capital Markets

Resumes

Resumes

Chad Cumby Photo 1

Development

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Location:
Chicago, IL
Industry:
Capital Markets
Work:
Accenture Jul 2003 - Sep 2011
Researcher
Pnt Financial Llc Jul 2003 - Sep 2011
Development
Cogcomp Lab Uiuc Aug 2001 - Jul 2003
Research Assistant
Education:
University of Illinois at Urbana - Champaign 1997 - 2003
Skills:
Machine Learning
Predictive Analytics
Data Mining
Analytics
Predictive Modeling
Artificial Intelligence
Python
Java
Text Mining
Algorithms
Statistical Modeling
Linux
Data Analysis
Computer Science
Data Visualization
Natural Language Processing
Git
Latex

Publications

Us Patents

System For Individualized Customer Interaction

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US Patent:
7945473, May 17, 2011
Filed:
Feb 28, 2005
Appl. No.:
11/069472
Inventors:
Andrew E. Fano - Lincolnshire IL, US
Chad M. Cumby - Chicago IL, US
Rayid Ghani - Evanston IL, US
Marko Krema - Evanston IL, US
Assignee:
Accenture Global Services Limited - Dublin
International Classification:
G06Q 30/00
US Classification:
705 141, 705 10
Abstract:
A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment's operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions).

Action Recognition And Interpretation Using A Precision Positioning System

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US Patent:
8069005, Nov 29, 2011
Filed:
Jan 6, 2010
Appl. No.:
12/683109
Inventors:
Andrew E. Fano - Lincolnshire IL, US
Chad Cumby - Chicago IL, US
Assignee:
Accenture Global Services Limited - Dublin
International Classification:
G06F 19/00
US Classification:
702150
Abstract:
To facilitate the recognition and interpretation of actions undertaken within an environment, the environment is associated with a precision positioning system (PPS) and a controller in communication with the PPS. Within the environment, an entity moves about in furtherance of one or more tasks to be completed within the environment. The PPS determines position data corresponding to at least a portion of the entity, which position data is subsequently compared with at least one known action corresponding to a predetermined task within the environment. Using a state-based task model, recognized actions may be interpreted and used to initiate at least one system action based on the current state of the task model and correspondence of the position data to the at least one known action. In an embodiment, an entity recognition system provides an identity of the entity to determine whether the entity is authorized to perform an action.

Identification Of Attributes And Values Using Multiple Classifiers

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US Patent:
8504492, Aug 6, 2013
Filed:
Jan 10, 2011
Appl. No.:
12/987505
Inventors:
Rayid Ghani - Chicago IL, US
Chad Cumby - Chicago IL, US
Marko Krema - Evanston IL, US
Assignee:
Accenture Global Services Limited - Dublin
International Classification:
G06F 15/18
US Classification:
706 12
Abstract:
A body of text comprises a plurality of unknown attributes and a plurality of unknown values. A first classification sub-component labels a first portion of the plurality of unknown values as a first set of values, whereas a second classification sub-component labels a portion of the plurality of unknown attributes as a set of attributes and a second portion of the plurality of unknown values as a second set of values. Learning models implemented by the first and second classification subcomponents are updated based on the set of attributes and the first and second set of values. The first classification sub-component implements at least one supervised classification technique, whereas the second classification sub-component implements an unsupervised and/or semi-supervised classification technique. Active learning may be employed to provide at least one of a corrected attribute and/or corrected value that may be used to update the learning models.

Preprocessing Of Text

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US Patent:
8620836, Dec 31, 2013
Filed:
Jan 10, 2011
Appl. No.:
12/987469
Inventors:
Rayid Ghani - Chicago IL, US
Chad Cumby - Chicago IL, US
Marko Krema - Evanston IL, US
Assignee:
Accenture Global Services Limited - Dublin
International Classification:
G06F 15/18
US Classification:
706 12
Abstract:
Performance of statistical machine learning techniques, particularly classification techniques applied to the extraction of attributes and values concerning products, is improved by preprocessing a body of text to be analyzed to remove extraneous information. The body of text is split into a plurality of segments. In an embodiment, sentence identification criteria are applied to identify sentences as the plurality of segments. Thereafter, the plurality of segments are clustered to provide a plurality of clusters. One or more of the resulting clusters are then analyzed to identify segments having low relevance to their respective clusters. Such low relevance segments are then removed from their respective clusters and, consequently, from the body of text. As the resulting relevance-filtered body of text no longer includes portions of the body of text containing mostly extraneous information, the reliability of any subsequent statistical machine learning techniques may be improved.

Entity Assessment And Ranking

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US Patent:
8639682, Jan 28, 2014
Filed:
Dec 29, 2008
Appl. No.:
12/344738
Inventors:
Chad Michael Cumby - Chicago IL, US
Katharina Probst - Atlanta GA, US
Rayid Ghani - Chicago IL, US
Assignee:
Accenture Global Services Limited - Dublin
International Classification:
G06F 7/00
US Classification:
707708, 707749
Abstract:
General entity retrieval and ranking is described. A first set of documents is retrieved from one or more document repositories based on a query formed according to the topic. The first set of documents is characterized based on its first set of metadata values. One or more candidate entities are identified based on the first set of documents and the original query is thereafter augmented according to a candidate entity. The second set of documents resulting from the augmented query is then characterized in a similar manner. For each candidate entity, the first and second document set characterizations are compared to determine their degree of similarity. Increasingly similar document set characterizations indicates that the candidate entity is increasingly relevant to the original query. Repeating this process for each of the one or more candidate entities can give rise to rankings according to the respective degrees of similarity.

System For Individualized Customer Interaction

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US Patent:
8645200, Feb 4, 2014
Filed:
May 3, 2011
Appl. No.:
13/099424
Inventors:
Andrew E. Fano - Lincolnshire IL, US
Chad M. Cumby - Chicago IL, US
Rayid Ghani - Evanston, IL
Marko Krema - Evanston IL, US
Assignee:
Accenture Global Services Limited - Dublin
International Classification:
G06Q 30/00
US Classification:
705 141
Abstract:
A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment's operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions).

System For Individualized Customer Interaction

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US Patent:
8650075, Feb 11, 2014
Filed:
Dec 21, 2011
Appl. No.:
13/332590
Inventors:
Andrew E. Fano - Lincolnshire IL, US
Chad M. Cumby - Chicago IL, US
Rayid Ghani - Evanston IL, US
Marko Krema - Evanston IL, US
Assignee:
Acenture Global Services Limited - Dublin
International Classification:
G06Q 30/00
US Classification:
705 141, 705 268
Abstract:
A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment's operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions).

Promotion Planning System

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US Patent:
8650079, Feb 11, 2014
Filed:
Feb 28, 2005
Appl. No.:
11/069113
Inventors:
Andrew E. Fano - Lincolnshire IL, US
Chad M. Cumby - Chicago IL, US
Rayid Ghani - Evanston IL, US
Marko Krema - Evanston IL, US
Assignee:
Accenture Global Services Limited - Dublin
International Classification:
G06Q 30/00
US Classification:
705 1443, 705 1449, 705 737
Abstract:
A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment's operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions).
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Chad Michael Cumby from Chicago, IL, age ~45 Get Report