KNA IT LTManagement of Data and Analytics Project in KNAData and Analytics Strategy for KNA

Work across IT and business partners to identify the data and analytics technologies required to enable the Kellogg Company to spin of the North American cereal business.Integrated within team of IT, business, consultants, legal and strategic partners to deliver requirements to successfulyl spin off WK Kellogg Co

Lead development of data science initiatives for the commercial organization.Develop and deploy analytic applications for the commercial orgianization.Prototype analytic solutions, utilizing predictive and inferential modelsConsult on analytic technologies and capabilities from external partners

Lead development of commercialized data products within the sales and marketing organizationPrototype analytic solutions, utilizing predictive and inferential modelsConsult on analytic technologies and capabilities from external partners

Lead the delivery of Value Added Promotion (VAP) analytics across all business units and brandsLead the delivery of Shopper Marketing analytics across all business units and brandsAssist with Marketing Mix deliverables, working to ensure the analytical integrity of the models, supporting design, modeling enhancements, and platform expansionDevelop ad hoc analytics to measure marketing effectiveness questions in the organizationAssist with development, integration, and commercialization of marketing mix meta-analysis and other analytic learningsAssist with the continued development and expansion of internal marketing database; develop SAS code for use in developing meta-analyses, and other adhoc statistical projects, and developing new analytic formats and platforms for advanced analytics

Develop customer level Trade Promotion Effectiveness (TPE) models to measure event ROI'sConsult customer teams on trade programs to maximize ROI and optimize sales growthBuild best practices on TPE across the organization

Create custom analyses for customer teams around every day pricing and promotional tacticsConsult customer teams on price and promotionPresent finding and recommendations to customers

Design and implement pricing simulations across all business unitsCreate ad hoc reports and models to answer custom business inquiriesProvide retail level market analyses for customer teams

Assist in the creation of custom analyses for at the customer and national levelDevelop SAS code to model and automate analysesResearch current trends in analytics and apply them to relevant business questions

Instructor for ECO 480 Honors Semester in Economics & Data