David Boyd Email & Phone Number

Toronto Ontario

To Develop a Data Inventory across cluster applications & business lines , to create data themes by identifying program database relationships.

Toronto, Canada Area

Design, build and test a "one row per subject" data art suitable for data mining using the SAS system.Develop predictive models to determine the likelihood of customer churn.

Analyze and interpret customer data to derive marketing insights and business recommendations.Develop Custom segmentation framework(s) aligned to Marketing’s key strategies and tactics.Conduct adhoc data/analytical requests

Economic Research and Statistical Analysis:Conduct theoretical research on how the business cycle has affected the province of Ontario over the last twenty years and relate the research to the empirical data.Conduct econometric analysis of the Unemployment Insurance/ Ontario Works Customer base in order to answer policy questions as determined by the Minister.Conduct detailed profiling analysis of the customer base at various stages of the business cycle.

Manage and execute complex modeling and segmentation analysis to assist Sponsor teams to evaluate effectiveness of existing marketing and promotional strategies and make recommendations for future actionsConduct complex data analyses and provide analytics and modeling perspective to Consumer Intelligence (CI) teams in scoping and developing integrated analytics and research capabilities Assist the sponsor teams through understanding the Sponsor’s customer by developing trends and profile consumers using transactional, behavioral and geographic data; Assess and implement analytical solutions, carry out quality assurance, summarize/communicate results with relevant recommendations to Vertical Lead as needed Provide direction to Information Technology to ensure new required internal/external data is accurate, accessible and usable for CI purposes and manage data hygiene to ensure data remains pure and accurate Guide all areas of project delivery, managing technical/analytical components of projects, including project planning, definition and scoping. Work with Sponsor teams and other specialist throughout project (GIS, Stats, Campaign, IT)

(Head Office – Scarborough, Ontario)Modeling:Execute Direct Response and Consumer Packaged Goods(CPG) Modeling Projects Build statistical model(s) as per client’s business and modeling needs and within the committed deadlinesSupport Product Development and Sales:Provide valuable analytical and data insights that uncover existing clients’ cross-sell and up-sell opportunities Recommend and provide accurate and insightful modeling services to solve Marketing problems for ICOM client companiesDepartment Development Contribute to initiatives that will enhance the operational excellence of the departmentContribute to training and development of Modeling Analysts

Toronto Ontario)Modeling:Build and implement predictive models and conduct behavioral analytics using the appropriate techniques and approaches best suited to addressing business issues. Areas of focus include churn, up sell, and campaign response models. Behavioral analytics include segmentation and market basket analysis. Perform assessment of KXEN as a viable tool for modeling.; Review data that requires changes and data that needs to be removed.Identify and document all necessary data transformations for prepaid and postpaid.Identify and document new sources of data for addition to the prepaid and postpaid analytical fileModel Score ReportingDesign a set of model score tracking reports to enable model performance assessment.Achievements Winner Q2 2006Marketing Innovation Award Rogers Wireless/Fido

Used Multiple Regression analyses and other multivariate analyses to develop an information system that coordinated seven (7) independent municipal databases into one comprehensive and useable database.Conducted budgetary analysis for the Assessment Commissioner on a weekly basis and reported findings in tables, plots and figures.Analyzed Assessment information data using statistical methods such as variance analysis, time series, frequency distributions, least squares, and correlation and regression analysis.Advised the Quality Assurance Manager in the design and implementation of quantitative research.Determined data needs and sampling techniques applicable to particular projects including the determination of confidence limits and the sections of appropriate statistical techniques and methodologies.Performed “What if” scenarios based on variable tax rates to assist senior management in projecting revenues.

Used Multiple Regression Analysis, Auto Regressive integrated Moving Average (ARIMA) techniques and neural networks to produce short-term forecasts for newspaper sales.Developed Econometric Models to identify factors that affect sales. Created models to forecast daily box sales.Compiled detailed sales statistics including sales results reporting and sales forecasting.Conducted sales program effectiveness analysis, inventory analysis and statistical modeling and regression analysis.

Masters Of Arts, Economics

Bachelor Of Business Management