Thomas Ding
experienced statistician data scientist@ Manifold Data Mining Inc.
Canada
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Thomas Ding is a highly passionate data scientist with over 20 years of experience. He has a strong background in SAS programming, data mining, and predictive modeling. Based in Canada, Thomas has worked for companies like Manifold Data Mining Inc. and has expertise in statistical predictive modeling, machine learning, and machine learning. He is skilled in using Python and has a deep understanding of deep learning concepts. Thomas is also experienced in exercise on TensorFlow and the idea of unstructured data.
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Emails and Phone Numbers

@manifolddatamining.com
+1 416760****
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About

Highly passionate about data, with creative abilities turning data into business insight. Fifteen years’ experience of statistical predictive modelling, data mining and machine learning. Solid knowledge of advanced statistics and deep understanding of popular machine learning algorithms. Proficiency in SAS programming (including Base, Macro, SQL), experience of machine learning with Python in Numpy, Pandas, Matplotlib, Seaborn, Scikit-Learn, and strong understanding of deep learning concepts and some exercise on TensorFlow and the idea of unstructured data as such Json file

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Work Experience

Ontario,Canada

IT Services and IT Consulting

9
Phone
+1 4167608826

Thomas Ding's Professional Milestones

  • experienced statistician data scientist (2003-07-01~): Conducted cutting-edge statistical studies supporting decision-making and recommending improvements to industry accuracy and profitability.

Education

University of Zurich
University of Zurich

Statistics

1993-1997