Amazon Seattle, WA Jan 2013 to Aug 2013 UX DesignerDigitas London May 2003 to Jun 2005 Manager, Delivery Management (PM/UX hybrid role)Neteo Pozna, wielkopolskie 2001 to 2003 Founder, UX DesignerDabrowka High School Pozna, wielkopolskie 2001 to 2002 Computer Science TeacherPolish Academy of Sciences Pozna, wielkopolskie 1998 to 2001 Supercomputing Center Operations
Education:
HCDE College of Engineering, University of Washington Seattle, WA 2012 to 2013 User-centered Design CertificatePoznan University of Technology Pozna, wielkopolskie 2000 to 2002 M.Sc. in company management and marketingPoznan University of Technology Pozna, wielkopolskie 1996 to 1999 M.Sc. in Computer Science
Skills:
Designing user flows Use case scenarios Wireframes Information architecture Low and high fidelity prototyping Site mockups Concept sketches Participatory research Direct interviews Research data reports Personas and scenarios Storyboards Usability testing
Us Patents
Transmission Of Messages Based On The Occurrence Of Workflow Events And The Output Of Propensity Models Identifying A Future Financial Requirement
Eva Diane Chang - Mountain View CA, US Madhu Shalini Iyer - Fremont CA, US Jeffrey Lewis Kaufman - Mountain View CA, US
Assignee:
Intuit Inc. - Mountain View CA
International Classification:
G06Q 10/06
Abstract:
A method for transmitting messages based on the occurrence of workflow events and the output of propensity models identifying a future financial requirement. The method includes generating, based on a propensity model score of a business entity, a classification of a future financial requirement of the business entity. Also, the method includes determining that the classification of the future financial requirement of the business entity meets a financial requirement threshold. Further, the method includes determining, using data of the business entity, that an aspect of the business entity meets a business activity threshold. Moreover, the method includes detecting that a workflow event has occurred on a platform utilized by the business entity. Still yet, the method includes, in response to the determination that the workflow event has occurred, transmitting a message to a user of the business entity.
User Data Augmented Propensity Model For Determining A Future Financial Requirement
Eva Diane Chang - Mountain View CA, US Madhu Shalini Iyer - Fremont CA, US Jeffrey Lewis Kaufman - Mountain View CA, US
Assignee:
Intuit Inc. - Mountain View CA
International Classification:
G06Q 40/00
Abstract:
A method for determining a future financial requirement of a business entity. The method includes obtaining a propensity model that models how data of a business entity relates to a future financial requirement. Also, the method includes gathering the data of the business entity. The data includes financial data of the business entity, and metadata describing use of a platform by users associated with the business entity. The data matches at least a subset of the propensity model. Further, the method includes scoring the business entity by applying the propensity model to the data of the business entity. In addition, the method includes generating, based on the score of the business entity, a classification of the future financial requirement of the business entity. Still yet, the method includes transmitting a message to the business entity based on the classification of the future financial requirement of the business entity.
Propensity Model For Determining A Future Financial Requirement
Eva Diane Chang - Mountain View CA, US Madhu Shalini Iyer - Fremont CA, US Jeffrey Lewis Kaufman - Mountain View CA, US
Assignee:
Intuit Inc. - Mountain View CA
International Classification:
G06Q 40/00 G06Q 10/06
Abstract:
A method for determining a future financial requirement of a business entity. The method includes obtaining a propensity model. The propensity model models how data of the business entity relates to a future financial requirement of the business entity. Also, the method includes gathering the data of the business entity. The data is created based on a platform utilized by the business entity, and the data of the business entity matches at least a subset of the propensity model. In addition, the method includes scoring the business entity by applying the propensity model to the data of the business entity. The method also includes generating, based on the score of the business entity, a classification of the future financial requirement of the business entity. Further, the method includes transmitting a message to the business entity based on the classification of the future financial requirement of the business entity.