The BearFund Jun 2011 - Aug 2011
Private Equity Associate Intern
Goldman Sachs | Stanford Global Education Conference May 2011 - Jun 2011
Student Perspectives Video Team
Education:
University of California, Berkeley - Walter A. Haas School of Business 2011 - 2013
B.S., Business Administration (Finance)
University of California, Berkeley
Skills:
Video Editing Branding Experience Creative Strategy Digital Media Integration Digital Marketing Advertising Marketing Strategy Design Thinking Project Management Financial Modeling Financial Analysis Adobe Creative Suite Web Design Public Speaking Social Media Marketing
Interests:
Cinematography Web Design Digital Media Design Thinking and Ideation Rapid Prototyping Exploring Soundcloud Playing Guitar and Ukulele Basketball Music Production Audio Engineering Film Production Performing Arts Singing Digital Photography Creative Application Branding
Gymboree Sep 2016 - Jul 2017
Planning Analyst
Auxora, Inc. Jun 2015 - Dec 2015
Technology Consultant Intern
Sani Paper Product Company Sep 2013 - Jul 2014
Operations Manager
Taiwan Intellectual Property Office Aug 2010 - Sep 2013
Patent Analyst
Intellectual Property Office Ministry of Economic Affairs Taiwan Aug 2010 - Sep 2013
Patent Analyst
Education:
University of California, Irvine - the Paul Merage School of Business 2014 - 2016
Master of Business Administration, Masters
University of California, Irvine - the Paul Merage School of Business 1992 - 1997
Master of Business Administration, Masters
University of California
Skills:
Microsoft Office Powerpoint Amazon Kindle Analysis Customer Service Leadership Data Analysis Management Problem Solving Project Management Research Public Speaking Team Leadership Analytical Skills Business Analysis Strategy Microsoft Excel
Languages:
English Mandarin Taiwanese
Certifications:
Google, Social Marketing Tools Google Adwords Fundamentals Google Shopping Advertising
Salesforce
Analyst
Mulesoft Jan 2018 - May 2018
Analyst
Mckinsey & Company Jul 1, 2016 - Aug 2017
Sourcing Analyst and Global Procurement Group Intern
Zingerman's Jan 2016 - May 2016
Lean Six Sigma Project Consultant
State Farm Agent Jan 2016 - May 2016
Business Operations Project Management Consultant
Education:
University of Michigan College of Engineering 2013 - 2016
The Wharton School 2016 - 2016
University of Alberta 2016 - 2016
Technische Universität Berlin 2014 - 2014
University of Michigan
Masters, Engineering
University of Michigan
Bachelors, Bachelor of Science, Engineering
Skills:
Consulting Project Management Business Strategy Lean Six Sigma Business Development Data Analysis Financial Modeling Risk Management Resource Management Statistics Actuary Operations Management Supply Chain Management Troubleshooting Entrepreneurship Microsoft Sql Server Vba Simulations Microsoft Office Microsoft Excel Powerpoint Public Speaking Social Media C++ Sql
Interests:
Science and Technology Economic Empowerment
Languages:
English Mandarin Spanish German Taiwanese Cantonese
Certifications:
Institute of Industrial Engineers, License 2202-4154 Institute of Industrial Engineers, License 2378-12163 Scrum Alliance, License 000525114 3Back Llc Society of Actuaries Lean Green Belt Certificate Six Sigma Green Belt Certification Certified Scrummaster Scaling Scrum With Scrum Probability (P) Certification Exam Financial Mathematics (Fm) Certification Exam License 1937938 License 2202-4154 License 2378-12163 License 000525114 License 20160440 License 101243 License 101983 License 101266 Project Management Institute, License 1937938 Scrumstudy - Accreditation Body For Scrum and Agile;Download Free Scrum Body of Knowledge(340 Pages), License 20160440 Scrumstudy - Accreditation Body For Scrum and Agile;Download Free Scrum Body of Knowledge(340 Pages), License 101243 Scrumstudy - Accreditation Body For Scrum and Agile;Download Free Scrum Body of Knowledge(340 Pages), License 101983 Scrumstudy - Accreditation Body For Scrum and Agile;Download Free Scrum Body of Knowledge(340 Pages), License 101266
Agile Methodologies Soa Java Spring Weblogic Software Development Distributed Systems Saas Java Enterprise Edition Web Services Linux Enterprise Architecture Oracle Ejb Integration Open Source Architectures Architecture
Languages:
English
Us Patents
Tracking Large Numbers Of Moving Objects In An Event Processing System
- Redwood Shores CA, US Eric Hsiao - San Mateo CA, US Andy Piper - Amersham, GB
Assignee:
Oracle International Corporation - Redwood Shores CA
International Classification:
G06F 9/50 G06F 9/54 G06F 17/30
Abstract:
Techniques for tracking large numbers of moving objects in an event processing system are provided. An input event stream can be received, where the events in the input event stream represent the movement of a plurality of geometries or objects. The input event stream can then be partitioned among a number of processing nodes of the event processing system, thereby enabling parallel processing of one or more continuous queries for tracking the objects. The partitioning can be performed such that each processing node is configured to track objects in a predefined spatial region, and the spatial regions for at least two nodes overlap. This overlapping window enables a single node to find, e.g., all of the objects within a particular distance of a target object, even if the target object is in the process of moving from the region of that node to the overlapping region of another node.
Tracking Large Numbers Of Moving Objects In An Event Processing System
- Redwood Shores CA, US Eric Hsiao - San Mateo CA, US Andy Piper - Amersham, GB
Assignee:
Oracle International Corporation - Redwood Shores CA
International Classification:
G06F 9/50 G06F 17/30 G06F 9/54
Abstract:
Techniques for tracking large numbers of moving objects in an event processing system are provided. An input event stream can be received, where the events in the input event stream represent the movement of a plurality of geometries or objects. The input event stream can then be partitioned among a number of processing nodes of the event processing system, thereby enabling parallel processing of one or more continuous queries for tracking the objects. The partitioning can be performed such that each processing node is configured to track objects in a predefined spatial region, and the spatial regions for at least two nodes overlap. This overlapping window enables a single node to find, e.g., all of the objects within a particular distance of a target object, even if the target object is in the process of moving from the region of that node to the overlapping region of another node.
Tracking Large Numbers Of Moving Objects In An Event Processing System
- Redwood Shores CA, US Eric Hsiao - San Mateo CA, US Andy Piper - Amersham, GB
International Classification:
G06F 9/50 G06F 17/30
Abstract:
Techniques for tracking large numbers of moving objects in an event processing system are provided. An input event stream can be received, where the events in the input event stream represent the movement of a plurality of geometries or objects. The input event stream can then be partitioned among a number of processing nodes of the event processing system, thereby enabling parallel processing of one or more continuous queries for tracking the objects. The partitioning can be performed such that each processing node is configured to track objects in a predefined spatial region, and the spatial regions for at least two nodes overlap. This overlapping window enables a single node to find, e.g., all of the objects within a particular distance of a target object, even if the target object is in the process of moving from the region of that node to the overlapping region of another node.
Support For A Parameterized Query/View In Complex Event Processing
- Redwood Shores CA, US Vikram Shukla - Fremont CA, US Anand Srinivasan - Bangalore, IN Alexandre de Castro Alves - Santa Clara CA, US Eric Hsiao - San Mateo CA, US
Assignee:
Oracle International Corporation - Redwood Shores CA
International Classification:
G06F 17/30
US Classification:
707718, 707779
Abstract:
The present invention includes a method for providing parameterized queries in complex event processing (CEP). The method includes providing a query template which includes one or more bind variables, providing sets of parameters corresponding to the one or more bind variables, and parsing the query template to determine positions of the one or more bind variables. The method further includes scanning the provided sets of parameters to determine which of the sets of parameters are to be bound to the one or more bind variables, binding the one or more bind variables which are determined to be bound to the sets of parameters, and substituting the bound one or more bind variables with the corresponding sets of parameters. The method further includes injecting all incarnations of the parameterized queries into the system, and one template/parameterized query is configured to run them all.
- Redwood Shores CA, US Eric Hsiao - San Mateo CA, US
Assignee:
Oracle International Corporation - Redwood Shores CA
International Classification:
G06F 17/30
US Classification:
707774
Abstract:
Techniques for managing risks with continuous queries are provided. In some examples, a selection of a data object enabled to provide a real-time stream of business event data may be received. The selection may be received by a user associated with the business event data. Additionally, a continuous query language query may be generated. The query may be configured to monitor the real-time stream of business event data for a first metric. In some examples, the a risk indicator associated with a second metric that affects the first metric may be identified. Output events of a pre-existing continuous query language query may be listened to. Further, a real-time visualization of the first metric and/or the second metric may be provided.
wsky, Chris Ashall, Gagandeep Anand, Frank Bigiel, Mdric Boquien, Chris Burns, Daniel Dale, James M. DerKacy, Oleg V. Egorov, L. Galbany, Kathryn Grasha, Hamid Hassani, Peter Hoeflich, Eric Hsiao, Ralf S. Klessen, Laura A. Lopez, Jing Lu, Nidia Morrell, Mariana Orellana, Francesca Pinna, Sumit K. Sarbad
Date: Mar 03, 2023
Category: Science
Source: Google
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