Conduct data mining, data modeling, statistical analysis, business intelligence gathering, trending and benchmarking. Data analytics supports decisions for high-priority, enterprises initiatives involving IT/Product development, Customer service improvement, organizational realignment and process reengineering.
• Data Mining and Modelling: Collected, cleansed and provided modeling and analyses of structured and unstructured data used for major business initiatives. Outcomes:
• A 15% reduction in transportation costs, resulting in $1.2M in annual savings
• Improved demand forecasting that reduced backorders to retail partners by 17%
• Completed focus group and BI research that helped New England region sales by 15%
• Dashboards: Created visually impactful dashboards in Excel and Tableau for data reporting by using pivot tables and VLOOKUP. Extracted, interpreted and analyzed data to identify key metrics and transform raw data into meaningful, actionable information.
• eCommerce: Designed and built statistical analysis models on large data sets (e.g; Aster, Teradata) that helped increase online sales (up to 15% per product) and lowered cart-abandonment rate by 23%