Kyle Poppie

About Kyle Poppie

I currently lead research and analytics for Nielsen\'s national and local audience measurement, focusing on audience estimation approaches for big data + panel methodologies. Prior to this, I was Head of Data Science at Claritas, developing customer segmentation, predictive models, and primary research methodologies. 17+ years of Data Science experience with traditional and big data assets: TV Panel, Set Top Box/Return Path Data, & Smart TV/ACR data Customer/Audience Segmentation Population/Universe Estimates Primary Survey Research 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, variance estimation, 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.

Experience

1. VP, Data Science

   Nielsen

   Nov 2021 — Present · Chicago, IL, US

   Core Television Audience Measurement (National & Local)

Education

• University of Wisconsin-Milwaukee

  BA, Sociology & Psychology

  2001 — 2005

• University of Wisconsin-Milwaukee

  MA, Sociology

  2006 — 2007

Skills

• Linear Regression
• Factor Analysis
• Predictive Analytics
• Survey Research
• Logistic Regression
• Questionnaire Design
• Quantitative Research
• Customer Insight
• Survey Methodology
• Multivariate Statistics
• Decision Trees
• Data Analysis
• Segmentation
• Leadership
• Python
• Statistical Modeling
• R
• Analytics
• Quantitative Analytics
• Survey Design
• Sas
• Data Fusion
• Market Research