Manage team of data scientists and data analytics managers focused on providing the most accurate and flexible in-season demand signals to all Demand and Supply functions for Nike Global Commercial Analytics. Produce in-season demand forecasting modeling framework to support demand driver-based decisions and improved optimization outcomes for a wide range of business decisions in merchandising, supply & inventory planning, and workforce labor planning.

Manage team of smart data analysts, data scientists, and ML specialists that support Walmart U.S. stores business for merchandising. Lead algorithm product development solving business problems such as markdown optimization and price recommendations for the world's leading retailer. Responsible for market measurement providing market share and online penetration insights to c-suite leaders, merchants, and corporate strategy. Forecast consumer demand for U.S. market and provide sales and volume projections for online and offline retail channels.

Develop consumer demand models leveraging detailed category retail sales data. Use models to forecast consumer market demand and trends to anticipate consumer needs and behaviors. Provide long-range (10-year) demand forecasts for Walmart-US to advise various decision makers such as corporate strategy, marketing, finance, and logistics.

Manage the Value Added Data Team of economists and Information Management Specialists located across the world. Accountable for all input data to the Global Link Model, the most comprehensive global macroeconomic model commercially available. Spearhead the automation of data processing for the Global Link Model to create new indicators and longer data series for improved accuracy. Develop requirements for Economic Simulation Engine software tool that produces scenario impact analysis.Relationship manager for Global Link Model clients providing training, support, and scenario analysis creation. Partner with Americas sales team to provide in-person and virtual demonstrations of the model and scenario tool to economists and executives. Maintain IHS' global macroeconomic databases. Develop quality control best practices and improve accuracy across all data processes. Liaise with forecasting groups to create data products for consulting or subscription engagements.

Part of the Center for Forecasting and Modeling at IHS. Focus on enhancing professional approaches to forecasting and modeling and fostering collaboration between forecasters across IHS.Provide data sourcing support for the Global Link Model. Build the best-in-class global macroeconomic model that positions IHS as a thought leader in economic forecasting within and outside the company, and enables customers to customize simulations and test scenarios more flexibly than ever before.Lead the roll-out of Forecasting Tools, IHS' data management software for forecasting. Encourage adoption of FT throughout the company, conduct training sessions, and work with modelers to incorporate the program in their forecasts.Provide expertise and advice to IHS colleagues on data methodology and construction, including my area of expertise in retail consumer markets, statistical methods, EViews econometric software, seasonal adjustment methodology, and data visualization best practices. Support research in development of economic forecasting products using new and novel data sources such as social media. Provide blog coverage of economic meetings and seminars on the IHS intranet page.

Manage data collection, economic analysis, and dissemination of two major economic indicators in the United States: Monthly Retail Sales and Monthly Business Inventories. Lead a team of 20 statisticians and analysts to provide detailed insight on current economic trends. Prepare and lead the monthly briefing of top government leaders at the Census Bureau and Department of Commerce on retail category trends. Advise the Council of Economic Advisers (CEA) and the Bureau of Economic Analysis (BEA) on consumer spending and its impact on Gross Domestic Product estimates. Produce the most timely retail e-commerce sales estimates available in the U.S.Coordinate the data collection efforts for the retail surveys, including in-depth training for staff at the Census Bureau's National Processing Center and conduct visits with contacts at top retail companies. Set and monitor a $5 million annual budget for two economic surveys. Led multi-year projects involving diverse stakeholders across agencies, including coordinating SAS software development and conducting survey sample revisions. Led retail website improvement efforts and development of online time-series database tool.

Manage seven survey statisticians and lead economic analysis of key retail industries

Analyze sales, inventory, and e-commerce data for several retail industries as part of the Monthly Retail Trade Survey