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Gautam K Kaura

from Austin, TX
Age ~48
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Also known as:
Gautam Kauar
Related to:
Ravpreet S Bhamra, 47Minnie K Kaura, 50Rupinder S Bhamra, 50
Connected to:
Mary A Kaura, 69Sushant Kaura, 38Vikram Kaura, 39Alison M Kaurala, 37Jason J Kauranen, 53Hassam Kaurejo, 33Karen N Kaurich, 61Jelena Kaurin, 42Allan R Kaurs, 77Amrit Kaursidhu, 35

Gautam Kaura Phones & Addresses

  • Austin, TX
  • 10022 Scenic Blvd, Cupertino, CA 95014
  • New York, NY
  • King of Prussia, PA
  • Conshohocken, PA
  • Atlanta, GA
  • Cary, NC
  • 1755 York Ave APT 8H, New York, NY 10128

Work

Company: Ocarina networks Jul 2015 Position: Director data science

Education

Degree: Master of Science, Masters School / High School: Georgia Institute of Technology 2001 to 2002 Specialities: Industrial Engineering

Skills

Supply Chain Management • Six Sigma • Strategy • Operational Excellence • Lean Manufacturing • Business Process Improvement • Process Improvement • Management Consulting • Supply Chain Optimization • Manufacturing • Project Management • Supply Chain • Program Management • Supply Management • Business Process Re Engineering • Process Engineering • Change Management • Business Strategy • Supply Chain Consulting • Strategic Sourcing • Value Stream Mapping • Sourcing • Business Process • Continuous Improvement • Business Transformation • Quality Management • Logistics • Cross Functional Team Leadership • Inventory Optimization • Project Portfolio Management • Industrial Engineering • Management • Consulting • Business Analysis • Strategic Planning • Leadership • Forecasting • Business Development • Analytics • Start Ups • Vendor Management • Cost Reduction • Operations Management

Ranks

Certificate: Six Sigma Black Belt

Industries

Management Consulting

Resumes

Resumes

Gautam Kaura Photo 1

Director Data Science

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Location:
Austin, TX
Industry:
Management Consulting
Work:
Ocarina Networks
Director Data Science
Deloitte Consulting Nov 2007 - Jun 2015
Senior Manager
Abb Jan 2004 - Nov 2007
Operations Consultant
Ge Oct 2002 - Dec 2003
Analyst - Product Service
Education:
Georgia Institute of Technology 2001 - 2002
Master of Science, Masters, Industrial Engineering Motilal Nehru National Institute of Technology
Bachelor of Engineering, Bachelors, Mechanical Engineering
Skills:
Supply Chain Management
Six Sigma
Strategy
Operational Excellence
Lean Manufacturing
Business Process Improvement
Process Improvement
Management Consulting
Supply Chain Optimization
Manufacturing
Project Management
Supply Chain
Program Management
Supply Management
Business Process Re Engineering
Process Engineering
Change Management
Business Strategy
Supply Chain Consulting
Strategic Sourcing
Value Stream Mapping
Sourcing
Business Process
Continuous Improvement
Business Transformation
Quality Management
Logistics
Cross Functional Team Leadership
Inventory Optimization
Project Portfolio Management
Industrial Engineering
Management
Consulting
Business Analysis
Strategic Planning
Leadership
Forecasting
Business Development
Analytics
Start Ups
Vendor Management
Cost Reduction
Operations Management
Certifications:
Six Sigma Black Belt
Certified Supply Chain Profession (Cscp)
Apics

Publications

Us Patents

Assigning Customer Calls To Customer Care Agents Based On Compatability

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US Patent:
20220239777, Jul 28, 2022
Filed:
Jan 27, 2021
Appl. No.:
17/159678
Inventors:
- Round Rock TX, US
Gautam Kaura - Austin TX, US
Sathish Bikumala - Round Rock TX, US
Assignee:
Dell Products L.P. - Round Rock TX
International Classification:
H04M 3/523
Abstract:
In one aspect, an example methodology implementing the disclosed techniques includes, in response to receipt at a call center of a call by a caller, generating a compatibility score for the caller, the compatibility score for the caller optimizes for caller satisfaction and potential upsell opportunities. The method also includes generating a compatibility score for individual agents available to handle the call, the compatibility score for the individual agents optimize for caller satisfaction and potential upsell opportunities. The method also includes matching the compatibility score for the caller to the compatibility scores for the individual agents and assigning an agent to the call based on the matching of the compatibility scores for the caller and the individual agents.

Training A Machine Learning Algorithm To Predict Bottlenecks Associated With Resolving A Customer Issue

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US Patent:
20210406832, Dec 30, 2021
Filed:
Jun 30, 2020
Appl. No.:
16/916996
Inventors:
- Round Rock TX, US
Gautam Kaura - Austin TX, US
Sumit Wadhwa - Austin TX, US
Raghav Sarathy - Austin TX, US
Anita Ako - Austin TX, US
Amit Sawhney - Round Rock TX, US
Konark Paul - Bangalore, IN
Jeannie Fitzgerald - Ennis, IE
Rohitt R. Punjj - Ludhiana, IN
Karthik Ranganathan - Round Rock TX, US
Sekar Palanisamy - Austin TX, US
International Classification:
G06Q 10/10
G06Q 10/06
G06Q 10/00
G06Q 10/08
G06Q 30/00
G06F 11/30
G06F 11/34
G06N 20/00
G06N 5/04
G06F 16/29
Abstract:
In some examples, a server may receive a user communication describing an issue with a computing device and assign a case to the computing device. The server may determine previously provided telemetry data (e.g., logs and usage data sent by the computing device) as well as previous cases associated with the computing device. Machine learning may be used to predict, based on the user communication, the telemetry data, and the previous cases, a predicted cause of the issue, a predicted time to close the case, and a predicted set of steps to resolve the issue. The machine learning may predict a bottleneck in at least one step of the set of steps that causes the predicted time to close to exceed a threshold and predict one or more actions to address the bottleneck. The server may automatically perform at least one action of the one or more actions.

Using Machine Learning To Predict A Usage Profile And Recommendations Associated With A Computing Device

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US Patent:
20210398187, Dec 23, 2021
Filed:
Jun 19, 2020
Appl. No.:
16/906062
Inventors:
- Round Rock TX, US
Gautam Kaura - Austin TX, US
Stephen Ray Young - Austin TX, US
Sathish Kumar Bikumala - Round Rock TX, US
Harshit Mehta - Austin TX, US
Harshita Dubey - Round Rock TX, US
Avanthika Sankararaman - Cedar Park TX, US
International Classification:
G06Q 30/06
G06N 20/00
G06N 5/04
G06Q 30/00
G06Q 10/00
Abstract:
In some examples, a server may receive usage data from a computing device, determine a usage profile of the computing device, and determine that a component of the computing device is predicted to fail and at what time. If the time is within a warranty period of a current warranty, then the server may recommend purchasing an upgraded warranty and provide a cost-benefit analysis of purchasing the upgraded warranty. If the time is outside the warranty period, then the server may recommend purchasing an extended warranty and provide a cost-benefit analysis of purchasing the extended warranty. The server may use the usage data to make a recommendation to upgrade one or more components (e.g., memory, disk drive, network card, or the like) of the computing device. The server may use the usage data to make a recommendation to upgrade from the computing device to a different computing device.
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Gautam K Kaura from Austin, TX, age ~48 Get Report