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Rajendra R Rane

from Sunnyvale, CA
Age ~61
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Also known as:
Rajendra Rano, Willadene C Phillips, Willadene S Cook
Phone and address:
1000 Escalon Ave APT 2081, Sunnyvale, CA 94085
(732) 986-2147
Related to:
Preeti C RanePreeti C Thosani, 59Rawaji Rane
Connected to:
Abhay S Rane, 56Abhinav G Rane, 37Aditya A Rane, 38Akhil A Rane, 37Ankur A Rane, 39Anoo N Rane, 90Apeksha P Rane, 40Ashwini Rane, 45Fabienne Rane, 59Glenn E Rane, 47

Rajendra Rane Phones & Addresses

  • 1000 Escalon Ave APT 2081, Sunnyvale, CA 94085 (732) 986-2147
  • San Jose, CA
  • Bellevue, WA
  • 97 Sherman Ave, Edison, NJ 08820 (732) 632-9696
  • 2016 Plaza Dr, Woodbridge, NJ 07095 (732) 636-3131
  • 701 Plaza Dr, Woodbridge, NJ 07095 (732) 636-3131
  • Iselin, NJ
  • Kiona, WA
  • Loveland, OH
  • Santa Clara, CA
  • 97 Sherman Blvd, Edison, NJ 08820 (732) 632-9696

Work

Position: Professional/Technical

Education

Degree: Graduate or professional degree

Resumes

Resumes

Rajendra Rane Photo 1

Rajendra Rane

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Location:
Sunnyvale, CA

Publications

Us Patents

Automatic Classification Of Credit Card Customers

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US Patent:
7690564, Apr 6, 2010
Filed:
Jun 13, 2006
Appl. No.:
11/451542
Inventors:
Rajendra R. Rane - Woodbridge NJ, US
David Juang - Forest Hills NY, US
Eduardo J. Alvarez - West Windsor NJ, US
Iwao Fusillo - Merrick NY, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06K 5/00
US Classification:
235380, 235375, 705 10, 705 26
Abstract:
According to embodiments of the present invention there is provided a computer-based method and a computer program product for automatically sorting customers who make purchases from merchants using a credit card. The computer-based method includes the following steps. An adjusted index is calculated for a customer based on an amount of money the customer spent across merchants during a time period. The adjusted index is compared to a cut-off value. The customer is classified based on the comparison of the adjusted index to the cut-off value. In an embodiment, the method also includes re-classifying the customer based on at least one of (i) information about the merchants, or (ii) a number of transactions in a predetermined industry.

System And Method For Matching Merchants Based On Consumer Spend Behavior

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US Patent:
8255268, Aug 28, 2012
Filed:
Jan 20, 2010
Appl. No.:
12/690810
Inventors:
Rajendra R. Rane - Edison NJ, US
Melissa Schwartz - Brooklyn NY, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06F 17/00
US Classification:
705 733
Abstract:
The present invention improves upon existing systems and methods by providing a passive profile creation method. The data accessible to a financial processor, such as spend level data, is leveraged using sophisticated data clustering and/or data appending techniques. Associations are established among entities (e. g. , consumers), among merchants, and between entities and merchants. In one embodiment, a system and method for passively collecting spend level data for a transaction of a first entity, aggregating the collected spend level data for a plurality of entities; and clustering the first entity with a subset of the plurality of entities, based on aggregated spend level data of the first entity is provided.

System, Method, And Computer Program Product For Increasing Inventory Turnover Using Targeted Consumer Offers

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US Patent:
8335720, Dec 18, 2012
Filed:
Aug 10, 2006
Appl. No.:
11/501914
Inventors:
David Juang - Forest Hills NY, US
Rajendra R. Rane - Woodbridge NJ, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06Q 30/00
US Classification:
705 1453, 705 729, 705 141, 705 1413, 705 1424, 705 1425, 705 144, 705 1441, 705 1449, 705 1461, 705 1466, 705 267, 705 28
Abstract:
Consumer, merchant, and transactional data from a closed loop network and external sources may be leveraged to increase demand of a merchant's inventory during normally low-demand periods. Extensive data mining is used to determine the excess merchant inventory and demand patterns at different times and different locations for merchants and groups of merchants. Similar data mining is used to analyze cardmember demand patterns to identify the cardmember preferences regarding when and where they which to purchase goods and/or services. Cardmembers may also be grouped based on their demand patterns. Using pricing as a lever, cardholders with specific preferences are targeted to shift the demand from peak periods and locations to non-peak periods and locations, and to increase the non-peak demand by location as well as time period. Higher precision may be obtained using product level transaction data from point-of-sale terminals used by merchants wherever applicable.

System And Method For Identifying Attributes Of A Population Using Spend Level Data

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US Patent:
8571919, Oct 29, 2013
Filed:
Jan 20, 2010
Appl. No.:
12/690693
Inventors:
Rajendra R. Rane - Edison NJ, US
Melissa Schwartz - Brooklyn NY, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06Q 10/00
US Classification:
705 733
Abstract:
The present invention improves upon existing systems and methods by providing a passive profile creation method. The data accessible to a financial processor, such as spend level data, is leveraged using sophisticated data clustering and/or data appending techniques. Associations are established among entities (e. g. , consumers), among merchants, and between entities and merchants. In one embodiment, a system and method for passively collecting spend level data for a transaction of a first entity, aggregating the collected spend level data for a plurality of entities; and clustering the first entity with a subset of the plurality of entities, based on aggregated spend level data of the first entity is provided.

Multidimensional Personal Behavioral Tomography

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US Patent:
20080091508, Apr 17, 2008
Filed:
Sep 29, 2006
Appl. No.:
11/529730
Inventors:
Rajendra Rane - Woodbridge NJ, US
David Juang - Forest Hills NY, US
Eduardo J. Alvarez - West Windsor NJ, US
Iwao Fusillo - Merrick NY, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G07G 1/00
US Classification:
705 10
Abstract:
A method and computer program product for identifying attributes of customers and potential customers, allowing marketing to be directed at such consumers. Information is received regarding each of a number of consumers. This information can include demographic information, data regarding spending habits, and information as to how such attributes may have changed over time. Once attributes have been determined, and any changes over time to such attributes have been determined, a correlation of the attributes is performed. Such combined attributes are denoted as composite dimensions. Given the composite dimensions, as well as attributes that may not have been correlated with any other attributes, consumers are plotted in the resulting multi-dimensional space. Sets of consumers that appear to be grouped in this multi-dimensional space are then identified. Common attributes of this consumer group are identified. Unique attributes of a given consumer in such a group are also identified.

Automatic Classification Of Credit Card Customers

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US Patent:
20100131400, May 27, 2010
Filed:
Jan 28, 2010
Appl. No.:
12/695928
Inventors:
Rajendra R. Rane - Woodbridge NJ, US
David Juang - Forest Hills NY, US
Eduardo J. Alvarez - West Windsor NJ, US
Iwao Fusillo - Merrick NY, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06Q 40/00
US Classification:
705 35
Abstract:
According to embodiments of the present invention there is provided a computer-based method and a computer program product for automatically sorting customers who make purchases from merchants using a credit card. The computer-based method includes the following steps. An adjusted index is calculated for a customer based on an amount of money the customer spent across merchants during a time period. The adjusted index is compared to a cut-off value. The customer is classified based on the comparison of the adjusted index to the cut-off value. In an embodiment, the method also includes re-classifying the customer based on at least one of (i) information about the merchants, or (ii) a number of transactions in a predetermined industry.

System And Method For Clustering A Population Using Spend Level Data

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US Patent:
20110178841, Jul 21, 2011
Filed:
Jan 20, 2010
Appl. No.:
12/690669
Inventors:
Rajendra R. Rane - Edison NJ, US
Melissa Schwartz - Brooklyn NY, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06Q 10/00
US Classification:
705 731
Abstract:
The present invention improves upon existing systems and methods by providing a passive profile creation method. The data accessible to a financial processor, such as spend level data, is leveraged using sophisticated data clustering and/or data appending techniques. Associations are established among entities (e.g., consumers), among merchants, and between entities and merchants. In one embodiment, a system and method for passively collecting spend level data for a transaction of a first entity, aggregating the collected spend level data for a plurality of entities; and clustering the first entity with a subset of the plurality of entities, based on aggregated spend level data of the first entity is provided.

System And Method For Using Spend Behavior To Identify A Population Of Consumers That Meet A Specified Criteria

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US Patent:
20110178843, Jul 21, 2011
Filed:
Jan 20, 2010
Appl. No.:
12/690712
Inventors:
Rajendra R. Rane - Edison NJ, US
Melissa Schwartz - Brooklyn NY, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06Q 10/00
G06Q 30/00
US Classification:
705 731
Abstract:
The present invention improves upon existing systems and methods by providing a passive profile creation method. The data accessible to a financial processor, such as spend level data, is leveraged using sophisticated data clustering and/or data appending techniques. Associations are established among entities (e.g., consumers), among merchants, and between entities and merchants. In one embodiment, a system and method for passively collecting spend level data for a transaction of a first entity, aggregating the collected spend level data for a plurality of entities; and clustering the first entity with a subset of the plurality of entities, based on aggregated spend level data of the first entity is provided.
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Rajendra R Rane from Sunnyvale, CA, age ~61 Get Report