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Mohammad Shokoohi-Yekta

Mohammad Shokoohi-Yekta

Former Data Scientist, Apple, Lecturer, Stanford University
United States
Mohammad is a former Senior Data Scientist at Apple, Lecturer at Stanford University, and AI Director at MedicalBlockchain.ai. Previously he worked for Samsung, Bosch, General Electric Research and UCLA on predictive modeling projects. He received a PhD in Computer Science from the University of California, Riverside and B.Sc. from University of Tehran. Mohammad is the author of the book, ‘Applications of Mining Massive Time Series Data'. He has also been a keynote speaker at more than 35 Data Summits/Conferences around the globe.

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Testimonials

  • "We are impressed with the sheer volume of crowd visiting our booth. We’ve had very good interactions with the delegates and alliance partners."
    Marketing Director, TIBCO Software
  • "We’ve met a good mix of new prospects and existing customers over the two days. There were many relevant questions posed by the delegates, attesting to the immense interest the show has generated for us leading up to the show."
    Marketing – South East Asia and India, Splunk
  • "The conversations in the big data community around machine learning is a lot more mature here. Not only the delegates are interested in big data, they are also keen to learn more about data science, artificial intelligence and internet of things."
    Regional Sales Director, Qubole Inc.
  • "I’m amazed with the diversity of vendors from data centre, big data, data integrators and cloud solution providers. There’s something here for almost anybody from the technology world. The most valuable takeaway for me is the opportunity to meet with our technology partners, alliance partners as well as our prospect and existing customers.!
    Head of Cloud Sales, Talend