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Kamal Gajendran

from San Mateo, CA
Age ~48
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Also known as:
Kamal Gajen, Gajendran Kamal, Kamal N
Phone and address:
26 Tollridge Ct, San Mateo, CA 94402
Connected to:
Amy L Gajendran, 40Varun K Gajendran, 42Reva E Gajer, 70Jitesh D Gajera, 44Krishna K Gajera, 35Linesh Gajera, 51Sangita Gajera, 47Courtney L Gajeske, 36Diana M Gajeski, 42Glenn K Gajeski, 67

Kamal Gajendran Phones & Addresses

  • 26 Tollridge Ct, San Mateo, CA 94402
  • Foster City, CA
  • Leander, TX
  • Belmont, CA
  • Mountain View, CA
  • San Francisco, CA
  • Santa Fe, NM
  • Palo Alto, CA
  • Gainesville, FL
  • Hayward, CA
  • 1100 Ralston Ave APT 306, Belmont, CA 94002

Work

Company: Coupang Sep 2017 Position: Head of engineering and product management, growth

Education

School / High School: University of California, Berkeley 2011 to 2013 Specialities: Leadership, Management

Skills

Agile Methodologies • Software Development • Big Data • Perl • Scrum • Saas • Java • Scalability • Software Engineering • Bioinformatics • Databases • Oracle • Nosql • Mongodb • Python • Hadoop • Sdlc • Amazon Web Services • Javascript • Rest • Project Management • Software As A Service • Node.js • Hbase • Db2 • Software Product Management • Technical Product Management • Program Management • Management • Leadership • Product Management • Product Development

Languages

English

Industries

Internet

Resumes

Resumes

Kamal Gajendran Photo 1

Head Of Engineering And Product Management, Growth

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Location:
26 Tollridge Ct, San Mateo, CA 94402
Industry:
Internet
Work:
Coupang
Head of Engineering and Product Management, Growth
Everstring May 2016 - Jun 2017
Vice President, Engineering
Decisionnext May 2014 - Apr 2016
Head of Engineering
Ibm Demandtec Solutions Jul 2007 - Apr 2014
Senior Manager, Engineering
Ncgr May 2003 - Jun 2007
Software Engineering Manager
Education:
University of California, Berkeley 2011 - 2013
University of Berkeley 2012
University of Florida 1997 - 1999
Master of Science, Masters, Computer Science, Mechanical Engineering Chatrapati Sahuji Maharaj Kanpur University, Kanpur 1997
Hindustan College 1993 - 1997
Bachelor of Engineering, Bachelors University of California, Berkeley 1989 - 1990
Skills:
Agile Methodologies
Software Development
Big Data
Perl
Scrum
Saas
Java
Scalability
Software Engineering
Bioinformatics
Databases
Oracle
Nosql
Mongodb
Python
Hadoop
Sdlc
Amazon Web Services
Javascript
Rest
Project Management
Software As A Service
Node.js
Hbase
Db2
Software Product Management
Technical Product Management
Program Management
Management
Leadership
Product Management
Product Development
Languages:
English

Publications

Us Patents

System And Method For Generating Demand Groups

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US Patent:
20100228604, Sep 9, 2010
Filed:
Mar 9, 2010
Appl. No.:
12/720661
Inventors:
Paritosh Desai - Santa Clara CA, US
Kamal Gajendran - Mountain View CA, US
International Classification:
G06Q 10/00
G06F 17/00
US Classification:
705 10, 706 47
Abstract:
The present invention relates to a system and method for generating demand groups. The demand groups may then be fed to downstream pricing optimization and/or business decision systems. The system receives demand group modeling data including a product listing, point of sales data, available econometric data and product information. Attributes may then be assigned to the products based upon product identifiers, size, flavor, brand, and product descriptions utilizing natural language processing. The products may then be clustered according to the attributes and point of sales data utilizing any of hierarchical clustering, k-means clustering, locality sensitive hashing, QT clustering, EM algorithms and model based clustering. One or more decision trees may be generated for the product listings using the point of sales data. Demand rules may be received, which may be applied to the product clusters and the decision trees to generate demand groups. A confidence score may be generated for each product indicating how well that product fits within the demand group. These confidence scores may be compared against a threshold. Products with scores below the threshold may be flagged for user review.

System And Method For Generating Product Decisions

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US Patent:
20100145773, Jun 10, 2010
Filed:
Nov 26, 2009
Appl. No.:
12/626666
Inventors:
Paritosh Desai - Santa Clara CA, US
Kamal Gajendran - Mountain View CA, US
International Classification:
G06Q 10/00
G06Q 30/00
US Classification:
705 10, 705 1435, 705 1461, 705348
Abstract:
The present invention relates to a system and method for generating business decisions. Embodiments of this system and method receive customer transaction data and additional information (cumulatively referred to as ‘modeling data’). This data is utilized to generate a product decision tree which models consumer purchasing decisions as a tree structure. The product decision tree may be utilized by the system to analyze demand for a given leaf (product) in association with other related products. In some embodiments, customers are segmented into groupings of customers who have similar attributes, including similar shopping behaviors. Customer insights are generated for the customer segments. The customer insights and the product decision tree are used to generate business plans, which may then be provided to a store for implementation. These plans may include a product assortment plan, an everyday pricing plan, a promotional plan, and a markdown plan.

Generating Product Decisions

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US Patent:
20200104765, Apr 2, 2020
Filed:
Dec 2, 2019
Appl. No.:
16/700812
Inventors:
- New York NY, US
Kamal Gajendran - Mountain View CA, US
Assignee:
Acoustic, L.P. - New York NY
International Classification:
G06Q 10/06
G06Q 30/02
G06Q 10/04
G06Q 30/06
Abstract:
The present invention relates to a system and method for generating business decisions. Embodiments of this system and method receive customer transaction data and additional information (cumulatively referred to as ‘modeling data’). This data is utilized to generate a product decision tree which models consumer purchasing decisions as a tree structure. The product decision tree may be utilized by the system to analyze demand for a given leaf (product) in association with other related products. In some embodiments, customers are segmented into groupings of customers who have similar attributes, including similar shopping behaviors. Customer insights are generated for the customer segments. The customer insights and the product decision tree are used to generate business plans, which may then be provided to a store for implementation. These plans may include a product assortment plan, an everyday pricing plan, a promotional plan, and a markdown plan.
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Kamal Gajendran from San Mateo, CA, age ~48 Get Report