David Chun - Redwood City CA, US Brian Sohmers - Los Altos CA, US Andrew Comstock - Menlo Park CA, US Nancy Ho - San Jose CA, US David Sasaki - Scotts Valley CA, US
International Classification:
G06Q 10/00
US Classification:
705 739
Abstract:
Techniques are provided for determining which entities, in a population of entities, is most like a given entity. In the context of companies, the techniques involve constructing a peer network graph based on company-to-company relationship data. Once the graph is constructed, the weights of the edges are determined, and values for the paths are determined based on the edge weights. Peer connection scores are generated for a particular company based on the number and values of the paths between the node that represents the company and the nodes that represent other companies. Based on the peer connection scores between the particular company and other companies, a subset of the other companies are selected as members of a peer group for the company.
Composite Data Creation With Refinement Suggestions
- Redwood City CA, US Andrew Comstock - Menlo Park CA, US Kiran Bagepalli - Union City CA, US Gautam H. Mudunuri - Fremont CA, US Akin Dirik - Palo Alto CA, US Frank Beier - San Carlos CA, US Mohini Wettasinghe - Redwood City CA, US Ivan Chong - Hillsborough CA, US
International Classification:
G06F 17/24 G06F 17/30
Abstract:
A data profiling module receives user selection of spreadsheets, and the data from the selected spreadsheets is profiled. At least one matching column is identified among the spreadsheets selected. The data profiling module calculates a match metric for the at least one matching column, and unifies the spreadsheets into a single composite spreadsheet using the at least one identified matching column. A preview view of a composite spreadsheet is generated, visually indicating the at least one matching column, any non-matching columns between the spreadsheets, and the match metric for the matching columns. An action history module identifies spreadsheets for use in the procedure, and stores any action applied to the spreadsheets as a procedure template that can be applied to a plurality of other spreadsheets.
Identifying A Subset Of Network Relationships Based On Data Received From External Data Sources
- Redwood City CA, US Brian Sohmers - Los Altos CA, US Andrew Comstock - Menlo Park CA, US Nancy Ho - San Jose CA, US David Sasaki - San Francisco CA, US
International Classification:
G06F 17/30 H04L 29/08
Abstract:
Techniques are provided for determining which entities, in a population of entities, is most like a given entity. In the context of companies, the techniques involve constructing a peer network graph based on company-to-company relationship data. Once the graph is constructed, the weights of the edges are determined, and values for the paths are determined based on the edge weights. Peer connection scores are generated for a particular company based on the number and values of the paths between the node that represents the company and the nodes that represent other companies. Based on the peer connection scores between the particular company and other companies, a subset of the other companies are selected as members of a peer group for the company.
Senior Product Manager, Core Technologies at Informatica
Location:
San Francisco Bay Area
Industry:
Information Services
Work:
Informatica - Redwood City, CA since May 2012
Senior Product Manager, Core Technologies
Equilar Jul 2006 - May 2012
Director of Product Management
Granville Software - Los Angeles, CA Jun 2005 - Jun 2006
Marketing Intern
Brooks Automation Jun 2003 - Sep 2004
Marketing Intern
Circuit City Jun 2003 - Aug 2003
Sales Associate
Education:
Stanford University 2012 - 2013
Certificate Program, Strategic Decision and Risk Management
University of California, Los Angeles 2002 - 2006
BS, Microbiology, Immunology and Molecular Genetics
Skills:
Product Management SaaS New Business Development Team Leadership Agile Project Management SCRUM UX UI Data Analysis Data Visualization Webinars Client Interfacing Product Launch Scrum User Experience User Interface Salesforce.com Online Marketing CRM
Awards:
Equi-Star Equilar Won the “Equi-star” in the 2nd quarter of 2009 for outstanding work and exceeding expectations of the executive team. Primarily earned for work around client retention initiatives and pricing change efforts resulting in a 23% higher ASP. Walk the Talk Award Brooks Automation Nominated by a Senior VP while a marketing intern at Brooks Automation. Received the company-wide “Walk-the-Talk” Achievement Award for work that went above and beyond expectations, relating to recruiting initiatives to build an new engineering team in India.