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@urbanscience.com
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2 phones found area 586 and 313
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LinkedIn matched
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Thomas Kondrat is listed as Global Lead, Advanced Analytics at Urban Science at Urban Science, a company with 735 employees, based in Washington, Michigan, United States. AeroLeads shows a work email signal at urbanscience.com, phone signal with area code 586, 313, and a matched LinkedIn profile for Thomas Kondrat.
Thomas Kondrat previously worked as Global Lead, Advanced Analytics at Urban Science and Global Manager, Modeling and Analytics at Urban Science. Thomas Kondrat holds Master'S, Computer Science from Oakland University.
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AeroLeads found 3 current-domain work email signals for Thomas Kondrat. Compare company email patterns before reaching out.
Automotive industry leader with many years of experience integrating machine learning and statistical-based intelligence into analytical decision making and software.
Listed skills include Analytics, Data Mining, Automotive, Segmentation, and 38 others.
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A career timeline built from the work history available for this profile.
Greater Detroit Area
Responsible for the development of data mining, machine learning, and statistical methodology (segmentation, profiling, predictive modeling, and forecasting) for client projects, training on elements of the methodologies, support in the sales of analytical solutions, and the delivery of analytical services solutions to clients. Lead all corporate research.
Responsible for the development of data mining methodology (segmentation, profiling, predictive modeling, and forecasting) for various client projects, training on elements of the methodologies, support in the sales of analytical solutions, and the delivery of select analytical services solutions to clients. Responsible for the application of Urban.
Responsible for the development of data mining methodology (segmentation, profiling, predictive modeling, and forecasting) for various client projects, training on elements of the methodologies, support in the sales of analytical solutions, and the delivery of select analytical services solutions to clients. Responsible for the application of Urban.
Other employees you can reach at urbanscience.com. View company contacts for 735 employees →
Colin Slon
Colleague at Urban Science
Greater Lansing, United States
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MJ
Mark Johnson
Colleague at Urban Science
Greater Phoenix Area, United States
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RB
Ranjit Bhandal
Colleague at Urban Science
London, England, United Kingdom, United Kingdom
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BM
Ben Munneke
Colleague at Urban Science
Bishop, Georgia, United States, United States
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BB
Bob Bell
Colleague at Urban Science
Washington, District Of Columbia, United States, United States
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DM
Doug Mcandrew
Colleague at Urban Science
New York City Metropolitan Area, United States
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ED
Emilyann Dechiara
Colleague at Urban Science
Chester, New Jersey, United States, United States
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SU
Shafi Ulla
Colleague at Urban Science
Bengaluru, Karnataka, India, India
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VA
Victor Anischenko
Colleague at Urban Science
United Kingdom, United Kingdom
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MA
Miguel Angel Peña Rodriguez
Colleague at Urban Science
Greater Madrid Metropolitan Area, Spain
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Quick answers generated from the profile data available on this page.
Thomas Kondrat works for Urban Science.
Thomas Kondrat is listed as Global Lead, Advanced Analytics at Urban Science at Urban Science.
AeroLeads has found 3 work email signals at @urbanscience.com for Thomas Kondrat at Urban Science.
AeroLeads has found 2 phone signal(s) with area code 586, 313 for Thomas Kondrat at Urban Science.
Thomas Kondrat is based in Washington, Michigan, United States while working with Urban Science.
Thomas Kondrat has worked for Urban Science and Chrysler.
Thomas Kondrat's colleagues at Urban Science include Colin Slon, Mark Johnson, Ranjit Bhandal, Ben Munneke, and Bob Bell.
You can use AeroLeads to view verified contact signals for Thomas Kondrat at Urban Science, including work email, phone, and LinkedIn data when available.
Thomas Kondrat holds Master'S, Computer Science from Oakland University.
Thomas Kondrat is listed with skills including Analytics, Data Mining, Automotive, Segmentation, Analysis, Predictive Modeling, Sas, and Business Intelligence.
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