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David Urpani
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  • Brighton
  • Australia
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Short Bio
I am passionate about innovation, commercialising technology, devising plans for creating new markets, entering existing markets with new solutions and crafting strategies for growth. I am also a committed evangelist for our businesses to unlock the valuable insights to be found in the waste streams of data they produce.

My research and PhD are in data mining applied to business. Firstly at CSIRO and then at Oracle Corporation I have developed business process and technology solutions that help businesses improve their bottom line and competitive position. Clients included the NZ Dairy Board, Amazon.com, Citibank, Westpac and Atlantic Bell.

I co-founded Moneytribe, an online mortgage lead generator, with the objective of providing a level playing field between sellers and buyers through the use of social information. I also co-founded and built iSelect into Australia’s premier online insurance business where I invented and patented iSelect's customer facing technology and steered the business to grow and generate millions of dollars in revenue annually.

I consult and advise businesses, from start-ups to more mature businesses, in various interim C positions or as a project based consultant in industries ranging from online, information technology, financial services, venture capital, and clean technology. I hold and have held advisory, non-executive and executive director positions. I am a strong advocate for good corporate governance, ethical behaviour, forward looking business strategy and early use of technology to gain market share and competitive advantage.
My Web Site Or LinkedIn Profile
http://au.linkedin.com/in/durpani/
Professional Status
Consultant
Years of Experience:
20
Your Company:
Significant Digits Pty Ltd
Industry:
Data and Information Management
How did you find out about DataScienceCentral?
LinkedIn Group
Interests:
Finding a new position, Networking
What is your Favorite Data Mining or Analytical Website?
http://www.r-project.org/
What Other Analytical Website do you Recommend?
http://www.cs.waikato.ac.nz/ml/weka/book.html

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