Scotland Data Science & Technology MeetUp

This is a group for anyone interested in Data Science, Big Data, Analytics and Technology trends. We started this group to build a community to discuss general insights into the market and share personal experiences of working and operating in this area. We hope to cover skills shortages, technological advancements and organisational implications in Data Science and Technology during our series of meetups. All skill levels are welcome.

  • Bob Clint (CTO, Spiritus Partners) -

    "What a long, strange trip it has been - Reflections on a data career'

    Bob is co-founder and Chief Technology Officer of Spiritus Partners, Inc. Spiritus Partners supports patients' well-being and peace of mind in managing chronic disease while enabling caregivers, clinicians and health systems to improve outcomes in a private, secure and reliable manner through mHealth solutions. A seasoned innovator, Bob has more than thirty years of experience in all aspects of the data management and IT life cycles, including solution development and delivery, project and program management, practice development and management, marketing and sales, and client relationship management. Prior roles have included Global IT Director and Audit Analytics Leader at EY, Senior Partner and National BI Practice Leader at CSC, and VP of Global Analytics at MphasiS.

    Bob specializes in:

    ยท Distributed ledger, Blockchain, Smart...

  • David Tracy - Internationally Experienced Data Science and Analytics Leader - FanDuel

    Founded and lead the Data Science team at FanDuel
    Develop, apply and mechanise advanced methods to model concepts such as: customer value; customer next actions; product recommendation; marketing effectiveness; and complex game ecosystem problems.

    Full agenda and second speaker to be announced.

  • About Joe - LinkedIn:
    Twitter: @matlabulous

    Jo-fai (or Joe) is a data scientist at Before joining H2O, he was in the business intelligence team at Virgin Media in UK where he developed data products to enable quick and smart business decisions. He also worked remotely for Domino Data Lab in US as a data science evangelist promoting products via blogging and giving talks at meetups. Joe has a background in water engineering. Before his data science journey, he was an EngD research engineer at STREAM Industrial Doctorate Centre working on machine learning techniques for drainage design optimization. Prior to that, he was an asset management consultant specialized in data mining and constrained optimization for the utilities sector in UK and abroad. He also holds a MSc in Environmental Management and a BEng in Civil Engineering.

    1. Introduction to Machine Learning with H2O (15 mins)
    In this talk, I will give you an overview of our company (H2...