I provide relevant research, data, and insights to the agency to ensure that we’re creating the best creative and strategic campaigns for our clients*Day to Day*• Oversee all data and analytics reporting for clients; including the presentation of all insights and recommendations• Teach and mentor junior analysts in interpretation, coding, hypothesis testing, etc.• Full statistical modeling capabilities, including ML predictive modeling and forecasting • Exploratory data… Show more I provide relevant research, data, and insights to the agency to ensure that we’re creating the best creative and strategic campaigns for our clients*Day to Day*• Oversee all data and analytics reporting for clients; including the presentation of all insights and recommendations• Teach and mentor junior analysts in interpretation, coding, hypothesis testing, etc.• Full statistical modeling capabilities, including ML predictive modeling and forecasting • Exploratory data work including web scraping, text mining, social listening and NLP• Data visualization and presentation*Also*• Design and fielding of primary quantitative research / assistance in qualitative research design• Development of relevant audience segmentations and personas•Work with clients to build comprehensive test and learn strategies for creative development and iterationClients include: Kia, Jack in the Box, CA Lottery, Jollibee, CTCA, Ad Council• Full scale research, writing, statistical modeling, and presentation for clients determined by client needs• Created internal-use R packages for automatic data ingest of client data; built interactive Shiny applications for use by internal teams• Designed and maintained a central knowledge hub of qualitative research and trends reports/data for strategy team - fully searchable and downloadable for internal team members Show less

• Internally defined and developed the data analytics process, leading to the inclusion of analytics across all disciplines and projects. • Client facing role establishing measurement plans, benchmarks, and relevant KPIs given current and future business goals. • Full statistical modeling and diagnostics capabilities, including predictive modeling• Exploratory work including text mining, web scraping, social listening, NLP, survey methodology• Data visualization and… Show more • Internally defined and developed the data analytics process, leading to the inclusion of analytics across all disciplines and projects. • Client facing role establishing measurement plans, benchmarks, and relevant KPIs given current and future business goals. • Full statistical modeling and diagnostics capabilities, including predictive modeling• Exploratory work including text mining, web scraping, social listening, NLP, survey methodology• Data visualization and presentation, including interactive and animated plotting • Data munging of structured and unstructured data. • Collaboration with strategy, creative, and account to aid development and execution of creative and strategic campaigns Show less

• Research projects focused on behavioral prediction, individual and group behavior, political decision making, preference structure and estimation, economic forecasting, and social science research design• Doctoral level statistical work using: multivariate regression analysis; factor analysis; structural equation modeling; item response theory; Bayesian statistics; multilevel modeling; time series modeling and econometric forecasting; classification and clustering (including knn, k-mean… Show more • Research projects focused on behavioral prediction, individual and group behavior, political decision making, preference structure and estimation, economic forecasting, and social science research design• Doctoral level statistical work using: multivariate regression analysis; factor analysis; structural equation modeling; item response theory; Bayesian statistics; multilevel modeling; time series modeling and econometric forecasting; classification and clustering (including knn, k-mean, hierarchical and random forest)• Designed curriculum and taught upper-level undergraduate courses• Managed multi-university team in design and classification practices for U.S. Supreme Court Database• Software PackagePatrick Kraft, Chris Weber and Taylor Grant (2015). ArfimaMLM: Arfima-MLM Estimation For Repeated Cross-Sectional Data. R package version 1.3.2Pending CRAN update: https://github.com/pwkraft/ArfimaMLM Show less