Retail Data Analytics- Business Analytics involving various statistical, business intelligence,data integration and projection techniques. To understand price sensitivity(base, average and/or promoted price) by understanding the interaction with volume using Regression(Log Log Model).
Developed models across product tiers and final brand level model through linear regression on SAS to understand the contribution of marketing vehicles on the volume sales of the product
MBD of the retail market into custom and client required regions/channels. To identify the Business Issue of the client and provide real time insights(NPD,P&P,etc.).
Assortment Optimization - What if Simulation and Optimi.
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