Data Scientist Interviews - Vol 1, April 2014

Over the past few months we have been lucky enough to conduct in-depth interviews with 15 different Data Scientists for our blog. The 15 interviewees have varied roles and focus areas: from start-up founders to academics to those working at more established companies; working across healthcare, energy, retail, agriculture, travel, dating, SaaS and more...
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In case you've missed any, here is a recap of the interviews to date with their relevant links as well as a pdf of everything in one place to make them more easily accessible to the community.
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Thanks again to all the interviewees! Looking forward to the next 15!...

Download the pdf here =>Data Scientist Interviews, Volume 1, April 2014

• Parham Aarabi, CEO of ModiFace & University of Toronto Professor:
  Visual Image Extraction

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• Pete Warden, Co-Founder & CTO of Jetpac:
  Object Recognition

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• Trey Causey, Founder of the spread, Data Scientist at zulily:
  Data Science & Football

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• Ravi Parikh, Co-Founder of Heap Analytics (YC W13):
  Modernizing Web and iOS Analytics

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• Ryan Adams, Assistant Professor of Computer Science, Harvard School of Engineering and Applied Sciences; Leader of Harvard Intelligent Probabilistic Systems Group:
  Intelligent Probabilistic Systems

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• Kang Zhao, Assistant Professor, Management Sciences Department, Tippie College of Business at University of Iowa:
  How Machine Learning can transform Online Dating

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• Dave Sullivan, Founder and CEO of Blackcloud BSG & Ersatz:
  Future of Neural Networks and MLaaS

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• Wolfgang van Loeper, Founder & CEO of MySmartFarm:
  Big Data & Agriculture: The Next Green Revolution

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• Laura Hamilton, Founder & CEO of Additive Analytics:
  Predicting Hospital Readmissions

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• Harlan Harris, Founder and President of Data Community DC:
  Building a Data Science Community

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• Abe Gong, Data Scientist at Jawbone:
  Using Data Science to Solve Human Problems

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• Kari Hensien, Sr Product Development at Optimum Energy &
  Cameron Turner, Data Scientist at The Data Guild:
  Machine Learning => Energy Efficiency

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• Andrej Karpathy, Machine Learning PhD student at Stanford;
  Creator of ConvNetJS:
  Next Generation Machine Learning - Training Deep Learning Models in a Browser

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• George Mohler, Chief Scientist at PredPol, Inc and Assistant Professor of Mathematics and Computer Science at Santa Clara University:
  Predictive Policing

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• Carl Anderson, Director of Data Science at Warby Parker:
  Data Science & Online Retail - at Warby Parker and Beyond

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Image Credit: Simple Insomnia

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P.S. To keep up with our interview series as well as the latest curated news and articles in Data Science, sign-up for our free weekly newsletter -> Data Science Weekly ... subscribe button below :)

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