Career records & work history
Medicine Doctors
Ravneet Kaur, 48Norcross, GA
Ravneet Kaur Phones & Addresses
Norcross, GA
301 Heritage Dr, Greenwood, IN 46143
Tracy, CA
San Pablo, CA
Davis, CA
Work
Company:
Zeachem inc - Menlo Park, CA Sep 2011
Position:
Process development associate
Education
School / High School:
University of San Francisco May 2011
Specialities:
Bachelor of Science in Biology
Mentions for Ravneet Kaur
Ravneet Kaur resumes & CV records
Resumes
Ravneet Kaur
Work:
ZeaChem Inc - Menlo Park, CA Sep 2011 to Mar 2013
Process Development Associate Stanford University School of Medicine - Palo Alto, CA Jun 2009 to Aug 2010
Life Science Research Assistant, Falk Cardiovascular Research Center Coopervision, Inc - Pleasanton, CA Jun 2008 to Aug 2008
Microbiology Research Assistant
Process Development Associate Stanford University School of Medicine - Palo Alto, CA Jun 2009 to Aug 2010
Life Science Research Assistant, Falk Cardiovascular Research Center Coopervision, Inc - Pleasanton, CA Jun 2008 to Aug 2008
Microbiology Research Assistant
Education:
University of San Francisco May 2011
Bachelor of Science in Biology St. Mary's University College - London Sep 2009
Bachelor of Science in Biology St. Mary's University College - London Sep 2009
Publications & IP owners
Us Patents
System And Method For Providing Warehousing Service
US Patent:
2023001, Jan 12, 2023
Filed:
Jul 6, 2021
Appl. No.:
17/368127
Inventors:
- San Jose CA, US
Harish Kumar Krishnasamy - San Francisco CA, US
Dineshbabu Bhoopalan - Fremont CA, US
SureshKumar Karuppuchamy - San Jose CA, US
Syed Musthafa Sikkander - San Jose CA, US
Ravneet Kaur - San Jose CA, US
Charles Douglas Watkins - San Jose CA, US
Balasubramanian Jayamani - San Jose CA, US
Harish Kumar Krishnasamy - San Francisco CA, US
Dineshbabu Bhoopalan - Fremont CA, US
SureshKumar Karuppuchamy - San Jose CA, US
Syed Musthafa Sikkander - San Jose CA, US
Ravneet Kaur - San Jose CA, US
Charles Douglas Watkins - San Jose CA, US
Balasubramanian Jayamani - San Jose CA, US
International Classification:
G06Q 30/06
G06Q 10/08
G06N 20/00
G06K 9/62
G06Q 10/08
G06N 20/00
G06K 9/62
Abstract:
Systems and methods for providing warehousing services that utilize a machine learning model are provided. The system trains a machine learning model with training data comprising item attributes and transaction locations extracted from past transactions for each item category to identify a plurality of transaction zones where each item category has a highest probability for selling. Subsequently, the system receives a warehouse request to warehouse inventory in a remote location. At least one transaction zone is determined based on item attributes of the inventory by applying the trained machine learning model. Based on the determined at least one transaction zone, the system determines one or more warehouse spaces that satisfy a spacing requirement for the inventory and causes presentation of the warehouse recommendation. The warehouse recommendation can indicate the one or more warehouse spaces.
Possible Relatives
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