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Isaac C Liu, 49374 Violeta Ct, San Jose, CA 95136

Isaac Liu Phones & Addresses

374 Violeta Ct, San Jose, CA 95136   

San Mateo, CA   

San Francisco, CA   

Waco, TX   

Los Banos, CA   

Work

Company: H&n foods, international Oct 2009 Position: Buyer and category analyst, fresh seafood

Education

School / High School: Baylor University- Waco, TX Jan 1998 Specialities: Bachelor of Business Administration in Financial Services, Minor in M.I.S.

Skills

Software: Adobe suite • Bloomberg • Hyperion Essbase • Informa • Microsoft Office • Access • PowerPoint • Query Analyzer • Oracle Discoverer • Reuters Kobra • Teradata SQL Assistant

Mentions for Isaac C Liu

Isaac Liu resumes & CV records

Resumes

Isaac Liu Photo 34

Buyer And Category Analyst

Location:
San Francisco Bay Area
Industry:
Logistics and Supply Chain
Isaac Liu Photo 35

Global Product Marketing Manager

Location:
San Francisco, CA
Industry:
Electrical/Electronic Manufacturing
Work:
Asml/Hermes-Microvision
Regional Product Marketing
Asml/Hermes-Microvision
Senior Application Engineer
University of California, San Diego Sep 2011 - Jun 2016
Research Assistant
National Tsing Hua University Feb 2009 - Jul 2011
Research Assistant
National Cheng Kung University Sep 2005 - Jul 2007
Undergraduate Research Assistant
Asml Sep 2005 - Jul 2007
Global Product Marketing Manager
Education:
Uc San Diego 2011 - 2017
Doctorates, Doctor of Philosophy, Materials Science, Engineering, Philosophy
National Tsing Hua University 2009 - 2011
Masters, Materials Science, Engineering
National Cheng Kung University 2003 - 2007
Bachelors, Bachelor of Science, Materials Science, Engineering
Skills:
Materials Science, Physics, Chemistry, Research, Nanotechnology, Matlab, Microsoft Office, Microsoft Excel, Powerpoint, Microsoft Word, Labview, Solidworks, Endnote, Phase Diagram, X Ray Diffractometry, Transmission Electron Microscopy, Scanning Electron Microscopy, Auger Electron Spectroscopy, Epma, External Quantum Efficiency Measurement, Iv/Cv Analysis, Powder Metallurgy, Physical Vapor Deposition, Chemical Vapor Deposition, Graphene, Vapor Liquid Solid, Vibrating Sample Magnetometer, Permanent Magnets, Machining, Optical Materials, Anodized Aluminum Oxide, Roll To Roll Processes, Inductively Coupling Plasma, Jazz Bebop History, Camera Lens Design, Hi Fi Headphone Design, Tem, Cvd, Thin Films, Afm, Powder X Ray Diffraction, Photolithography, Nanoparticles, Uv/Vis
Languages:
Mandarin
English
Isaac Liu Photo 36

Client Manager, Field - Enterprise

Location:
374 Violeta Ct, San Jose, CA 95136
Industry:
Information Technology And Services
Work:
H & N Foods International since Oct 2009
Buyer and Category Analyst
n/a Nov 2008 - Oct 2009
Unemployed
Gap Inc. Jan 2008 - Nov 2008
Senior Analyst, Labor Planning - Banana Republic
Bank of America May 2006 - Jan 2008
Assistant Vice President, Senior Analyst, Balance Sheet Management, Corporate Treasury
Bank of America NA Sep 2001 - May 2006
Officer, Analyst II, Funds Transfer Pricing, Corporate Treasury
Robertson Stephens, Inc. Sep 1999 - May 2001
Analyst I
Far East National Bank Jun 1998 - Sep 1999
Credit Analyst I / Junior Commercial Loan Officer
Discopy Labs May 1996 - Aug 1996
Management Information Systems Internship
Education:
Baylor University Sep 1993 - May 1998
Bachelor of Business Administration (B.B.A.), Financial Services and PlanningMinor in Management Information Systems
Skills:
Salesforce.com, Saas, Management, Enterprise Software, Cloud Computing, Software As A Service, Competitive Analysis, Business Intelligence, Leadership, Sales Management, Start Ups, Sales Process, Forecasting, Product Management, Strategy, Customer Relationship Management, Cold Calling, Financial Reporting, Direct Sales, Vendor Management, Purchasing Negotiations, Funds Transfer Pricing, Sql, Teradata, Deposits, Crm, Sales Development, Prospecting, Oracle Discoverer, Oracle Applications, Reuters, Category Management, Bloomberg Terminal, Commercial Banking, Credit Analysis, Loan Structuring, Essbase, Labor Planning, Fp&A, Barry Rhein "Selling Through Curosity"
Languages:
English
Mandarin
Certifications:
Preventing Workplace Harassment
Isaac Liu Photo 37

Reader At University Of Warwick

Location:
Coventry, United Kingdom
Industry:
Higher Education
Isaac Liu Photo 38

Isaac Liu - San Mateo, CA

Work:
H&N Foods, International Oct 2009 to 2000
Buyer and Category Analyst, Fresh Seafood
Gap, Inc - San Francisco, CA Jan 2008 to Nov 2008
Senior Analyst, Labor Planning - Banana Republic
Bank of America May 2006 to Dec 2007
Assistant Vice President, Senior Analyst - Balance Sheet Management
Bank of America Sep 2001 to May 2006
Officer, Analyst II
Robertson Stephens, Inc - San Francisco, CA Sep 1999 to May 2001
Analyst I - Management Accounting and Reporting
Far East National Bank - San Francisco, CA May 1998 to Aug 1999
Credit Analyst I / Junior Commercial Loan Officer
Education:
Baylor University - Waco, TX Jan 1998
Bachelor of Business Administration in Financial Services, Minor in M.I.S.
Skills:
Software: Adobe suite, Bloomberg, Hyperion Essbase, Informa, Microsoft Office, Access, PowerPoint, Query Analyzer, Oracle Discoverer, Reuters Kobra, Teradata SQL Assistant

Publications & IP owners

Us Patents

Multi-Layer Optimization For A Multi-Sided Network Service

US Patent:
2021039, Dec 16, 2021
Filed:
Aug 27, 2021
Appl. No.:
17/459708
Inventors:
- San Francisco CA, US
Xian Xing Zhang - Mountain View CA, US
Isaac Suyu Liu - Fremont CA, US
Yuanchi Ning - San Francisco CA, US
Chen Peng - Sunnyvale CA, US
International Classification:
G06Q 30/06
G06N 7/00
G06N 20/00
G06F 16/248
G06F 16/9535
G06F 16/2457
Abstract:
A computing system generates recommendations for users within the context of a network service. To account for objectives of various users associated with the network service, some of which may not reach optimality at the same time, the computing system generates values associated with each of the objectives separately. For example, for each objective, the system may train a computer model to produce a representative value. To generate a recommendation of an entity for a user, the system uses the generated objective values as inputs to an optimization algorithm. The optimization step may use linear programming or quadratic programming to generate a recommendation score, for example. This two-step process allows the system to account for multiple objectives and makes the system easily adaptable to change when the set of objectives is updated.

Optimizing Listing Efficiency And Efficacy For A Delivery Coordination System

US Patent:
2020029, Sep 17, 2020
Filed:
May 29, 2020
Appl. No.:
16/888200
Inventors:
- San Francisco CA, US
Sidney Zhang - San Francisco CA, US
Yuyan Wang - Millbrae CA, US
Mihir Gogate - San Francisco CA, US
Yuanchi Ning - San Francisco CA, US
Chen Peng - Sunnyvale CA, US
Isaac Liu - Fremont CA, US
Calvin Lee - San Francisco CA, US
International Classification:
G06F 16/9535
G06Q 50/12
G06Q 30/02
G06F 16/248
G06F 16/2457
G06F 16/2453
Abstract:
A delivery coordination system selects restaurant listings for presentation to a user by filtering out restaurants that are unlikely to be of interest to the user, while ensuring that restaurant listings are selected to encourage the success of all restaurants using the delivery coordination system. In response to receiving the listings request from a client device, the delivery coordination system selects a filtered set of restaurant listings from the plurality of restaurant listings stored by the delivery coordination system by applying filtering criteria to the plurality of stored restaurant listings. The delivery coordination system generates conversion scores for the restaurant in the filtered set of restaurant listings and selects restaurant listings to present to the user from the filtered set of restaurant listings based on selection factors, which can include the generated conversion scores. The delivery coordination system transmits the selected restaurant listings to the client device.

Multi-Layer Optimization For A Multi-Sided Network Service

US Patent:
2020007, Mar 5, 2020
Filed:
Aug 29, 2018
Appl. No.:
16/116054
Inventors:
- San Francisco CA, US
Xian Xing Zhang - Mountain View CA, US
Isaac Suyu Liu - Fremont CA, US
Yuanchi Ning - San Francisco CA, US
Chen Peng - Sunnyvale CA, US
International Classification:
G06Q 30/06
G06F 17/30
G06N 99/00
G06N 7/00
Abstract:
A computing system generates recommendations for users within the context of a network service. To account for objectives of various users associated with the network service, some of which may not reach optimality at the same time, the computing system generates values associated with each of the objectives separately. For example, for each objective, the system may train a computer model to produce a representative value. To generate a recommendation of an entity for a user, the system uses the generated objective values as inputs to an optimization algorithm. The optimization step may use linear programming or quadratic programming to generate a recommendation score, for example. This two-step process allows the system to account for multiple objectives and makes the system easily adaptable to change when the set of objectives is updated.

Optimizing Listing Efficiency And Efficacy For A Delivery Coordination System

US Patent:
2018032, Nov 8, 2018
Filed:
May 3, 2017
Appl. No.:
15/586190
Inventors:
- San Francisco CA, US
Sidney Zhang - San Francisco CA, US
Yuyan Wang - Millbrae CA, US
Mihir Gogate - San Francisco CA, US
Yuanchi Ning - San Francisco CA, US
Chen Peng - Sunnyvale CA, US
Isaac Liu - Fremont CA, US
Calvin Lee - San Francisco CA, US
International Classification:
G06F 17/30
G06Q 50/12
G06Q 30/02
Abstract:
A delivery coordination system selects restaurant listings for presentation to a user by filtering out restaurants that are unlikely to be of interest to the user, while ensuring that restaurant listings are selected to encourage the success of all restaurants using the delivery coordination system. In response to receiving the listings request from a client device, the delivery coordination system selects a filtered set of restaurant listings from the plurality of restaurant listings stored by the delivery coordination system by applying filtering criteria to the plurality of stored restaurant listings. The delivery coordination system generates conversion scores for the restaurant in the filtered set of restaurant listings and selects restaurant listings to present to the user from the filtered set of restaurant listings based on selection factors, which can include the generated conversion scores. The delivery coordination system transmits the selected restaurant listings to the client device.

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