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Thomas Ding Email & Phone Number
Senior Statistician
at
Manifold Data Mining Inc.
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✓ Verified Jul 2026
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Who is Thomas Ding? Overview
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Quick answer
Thomas Ding is listed as Senior Statistician at Manifold Data Mining Inc., based in Canada. AeroLeads shows a matched LinkedIn profile for Thomas Ding.
Thomas Ding holds Master'S Degree In Statistics, Statistics from University Of Zurich.
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Manifold Data Mining Inc.
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Profile bio
About Thomas Ding
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
Listed skills include Sas Programming, Data Mining, Statistical And Numerical Proficiency, Predictive Modeling, and 5 others.
Current workplace
Thomas Ding's current company
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2 roles
Thomas Ding work experience
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Senior Statistician
Current
Jul 2003 - Present
1 education record
Thomas Ding education
FAQ
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What company does Thomas Ding work for?
Thomas Ding works for Manifold Data Mining Inc..
What is Thomas Ding's role at Manifold Data Mining Inc.?
Thomas Ding is listed as Senior Statistician at Manifold Data Mining Inc..
Where is Thomas Ding based?
Thomas Ding is based in Canada while working with Manifold Data Mining Inc..
What companies has Thomas Ding worked for?
Thomas Ding has worked for Manifold Data Mining Inc..
How can I contact Thomas Ding?
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What schools did Thomas Ding attend?
Thomas Ding holds Master'S Degree In Statistics, Statistics from University Of Zurich.
What skills is Thomas Ding known for?
Thomas Ding is listed with skills including Sas Programming, Data Mining, Statistical And Numerical Proficiency, Predictive Modeling, Predictive Analytics, Machine Learning, Database Marketing, and Customer Relationship Management.
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