Young Mee Suh, Age 52300 E Homestead Ave UNIT C3, Palisades Park, NJ 07650

Young Suh Phones & Addresses

Palisades Park, NJ

Warner Robins, GA

14410 Roosevelt Ave, Flushing, NY 11354

Bayside, NY

Duluth, GA

Charlotte, NC

New York, NY

Port Jefferson, NY

Centreville, VA

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Work

Company: H-mart Apr 2012 Position: Warehouse/stock clerk

Education

School / High School: Southern Polytechnic State University- Marietta, GA Dec 2011 Specialities: Master of Business Administration

Skills

Operating forklift • electric pallet truck • electric pallet jack • manual pallet jack • electric floor buffer • scanner • QuickBooks • Peachtree • Microsoft Excel • Word • in-house database

Languages

English

Mentions for Young Mee Suh

Career records & work history

Real Estate Brokers

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Young Suh, Tenafly NJ - Agent

Work:
Friedberg Properties
Tenafly, NJ
(267) 879-5656 (Phone)

Lawyers & Attorneys

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Young Suh - Lawyer

Specialties:
Intellectual Property
ISLN:
910019055
Admitted:
1996
University:
Occidental College, A.B., 1982; University of Illinois, Urbana-Champaign, Ph.D., 1990
Law School:
DePaul University, J.D., 1995

Medicine Doctors

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Dr. Young S Suh, Brooklyn NY - MD (Doctor of Medicine)

Specialties:
Addiction Psychiatry
Address:
1480 Prospect Pl, Brooklyn, NY 11213
(718) 953-2302 (Phone)
Languages:
English
Young Suh Photo 4

Young Suh, New York NY

Work:
Smith Communicare Health Ctr
60 Madison Ave, New York, NY 10010

License Records

Young Sook Suh

Licenses:
License #: 1201072000
Category: Cosmetologist License

Young Suh resumes & CV records

Resumes

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Manager

Industry:
Automotive
Work:
National Fender Shop
Manager
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Young Suh

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Young Soo Suh

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Young Woo Suh

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Young Suh

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Young Suh

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Young Ah Suh

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Young K Suh

Publications & IP owners

Us Patents

Predictive Food Logging

US Patent:
2016001, Jan 14, 2016
Filed:
Jul 11, 2014
Appl. No.:
14/329594
Inventors:
- New York NY, US
Betina Evancha - New York NY, US
Gennadiy Shafranovich - Brooklyn NY, US
Yong Woo Kim - Seoul, KR
Ketill Gunnarsson - Trnava, SK
James Connell - Mechanicville NY, US
Young In Suh - Queens NY, US
Christos Avgerinos - Brooklyn NY, US
Bo Yin - Mississauga, CA
Artem Petakov - New York NY, US
Ken Nesmith - New York NY, US
Jesse Sae-ju Jeong - West New York NJ, US
International Classification:
G06N 5/04
G06F 3/0484
Abstract:
A method of predicting food items consumed by a user of a food-logging application is disclosed. Loggings of consumptions of food items are received. A predictive model is generated based on the received loggings. The predictive model generates a prediction of one or more additional food items that a target user will consume or is likely to have consumed (e.g., at a particular time). The prediction is generated based on an application of the predictive model to one or more data items (e.g., data items streaming into the system in real time from the target user or other users that are relevant to food consumptions by the target user). The prediction of the consumption of the one or more additional food items by the user may then be communicated for presentation to the target user in a user interface.

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