Kyle Poppie
15 years of Data Science experience with traditional and big data assets. ◆ Nielsen TV... | Chicago, Illinois, United States
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Kyle Poppie’s Emails ky****@ni****.com
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Kyle Poppie’s Location Chicago, Illinois, United States
Kyle Poppie’s Expertise 15 years of Data Science experience with traditional and big data assets. ◆ Nielsen TV Panel, Set Top Box/Return Path Data, & Smart TV/ACR data ◆ Claritas Segmentation (PRIZM, PYCLE, ConneXions) & Population Estimates (PopFacts) ◆ Claritas Primary Research (Financial Track, Insurance Track, Energy Behavior Track, Technology Behavior Track, & Channel Track) ◆ Retail Point of Sale, Loyalty Card, & Homescan (National Consumer Panel) ◆ Third Party Demographics (e.g. Experian, Epsilon) Specialties include consumer segmentation, probability and nonprobability sampling techniques, sample weighting, big data, data integration, survey methodology, and questionnaire design. Statistical and machine learning knowledge includes decision trees, random forests, k-nearest neighbors, gradient boosting, neural networks, discriminant analysis, linear regression, logistic regression, and regression models with limited dependent variables. Python, SAS, SQL, Unix
Kyle Poppie’s Current Industry Nielsen
Kyle
Poppie’s Prior Industry
Us Cellular
|
University Of Wisconsin Milwaukee
|
Nielsen
|
Claritas
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Work Experience
Nielsen
VP, Data Science
Mon Nov 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
Nielsen
Director, Data Science
Sat Feb 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time) — Mon Nov 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time)
Claritas
VP, Data Science
Mon Jan 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed Jan 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time)
Claritas
Director, Data Science
Sun Jan 01 2017 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Dec 01 2017 00:00:00 GMT+0000 (Coordinated Universal Time)
Nielsen
Director, Data Science
Tue Jul 01 2014 00:00:00 GMT+0000 (Coordinated Universal Time) — Thu Dec 01 2016 00:00:00 GMT+0000 (Coordinated Universal Time)
Nielsen
Senior Research Statistician
Tue May 01 2012 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Jul 01 2014 00:00:00 GMT+0000 (Coordinated Universal Time)
Nielsen
Research Statistician
Thu Apr 01 2010 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue May 01 2012 00:00:00 GMT+0000 (Coordinated Universal Time)
Nielsen
Statistical Analyst
Sun Jul 01 2007 00:00:00 GMT+0000 (Coordinated Universal Time) — Thu Apr 01 2010 00:00:00 GMT+0000 (Coordinated Universal Time)
University Of Wisconsin Milwaukee
Research Assistant
Sat Jul 01 2006 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Jun 01 2007 00:00:00 GMT+0000 (Coordinated Universal Time)
University Of Wisconsin Milwaukee
Teaching Assistant
Mon Aug 01 2005 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Jun 01 2007 00:00:00 GMT+0000 (Coordinated Universal Time)
Us Cellular
Customer Service Representative
Tue Jun 01 2004 00:00:00 GMT+0000 (Coordinated Universal Time) — Mon Aug 01 2005 00:00:00 GMT+0000 (Coordinated Universal Time)Skills
Languages
Kyle Poppie Email Addresses
FAQ About Kyle Poppie
-
Kyle Poppie is located at
Chicago, Illinois, United States -
Kyle Poppie is a
15 years of Data Science experience with traditional and big data assets. ◆ Nielsen TV Panel, Set Top Box/Return Path Data, & Smart TV/ACR data ◆ Claritas Segmentation (PRIZM, PYCLE, ConneXions) & Population Estimates (PopFacts) ◆ Claritas Primary Research (Financial Track, Insurance Track, Energy Behavior Track, Technology Behavior Track, & Channel Track) ◆ Retail Point of Sale, Loyalty Card, & Homescan (National Consumer Panel) ◆ Third Party Demographics (e.g. Experian, Epsilon) Specialties include consumer segmentation, probability and nonprobability sampling techniques, sample weighting, big data, data integration, survey methodology, and questionnaire design. Statistical and machine learning knowledge includes decision trees, random forests, k-nearest neighbors, gradient boosting, neural networks, discriminant analysis, linear regression, logistic regression, and regression models with limited dependent variables. Python, SAS, SQL, Unix Nielsen -
Kyle Poppie currently works in the
Nielsen -
Kyle Poppie specializes in
15 years of Data Science experience with traditional and big data assets. ◆ Nielsen TV Panel, Set Top Box/Return Path Data, & Smart TV/ACR data ◆ Claritas Segmentation (PRIZM, PYCLE, ConneXions) & Population Estimates (PopFacts) ◆ Claritas Primary Research (Financial Track, Insurance Track, Energy Behavior Track, Technology Behavior Track, & Channel Track) ◆ Retail Point of Sale, Loyalty Card, & Homescan (National Consumer Panel) ◆ Third Party Demographics (e.g. Experian, Epsilon) Specialties include consumer segmentation, probability and nonprobability sampling techniques, sample weighting, big data, data integration, survey methodology, and questionnaire design. Statistical and machine learning knowledge includes decision trees, random forests, k-nearest neighbors, gradient boosting, neural networks, discriminant analysis, linear regression, logistic regression, and regression models with limited dependent variables. Python, SAS, SQL, Unix -
Kyle Poppie speaks the following languages:
No languages available. -
Kyle Poppie has prior experience in the following industries:
Nielsen , Claritas , Claritas , Nielsen , Nielsen , Nielsen , Nielsen , University Of Wisconsin Milwaukee , University Of Wisconsin Milwaukee , Us Cellular -
Kyle Poppie has the following professional experience:
Nielsen , Nielsen , Claritas , Claritas , Nielsen , Nielsen , Nielsen , Nielsen , University Of Wisconsin Milwaukee , University Of Wisconsin Milwaukee , Us Cellular . -
You can view Kyle Poppie’s
LinkedIn profile at LinkedIn URL. -
Kyle Poppie’s work email addresses are
[email protected] . -
Kyle Poppie works at
Nielsen
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