An advanced analytics onsite consultant for a fortune 500 food retailer in Marketing, Customer Loyalty, Digital Engagement, and Product Assortment and Promotions. - Analyze and mine point of sale transaction data to drive Pricing, Marketing and Customer Centricity- Build Customer Segmentations based on buying behavior and demographic data- Collaborate with consumer packaged goods (CPG) partners to design customer-centric promotions and deals

Key Responsibilities:• Responsible for collaborating with internal cross-functional specialization teams and client brand managers, for a global pharmaceutical client to understand, define and scope business questions to data questions, plan project roadmap and drive project execution.• Ideate, create and deliver data driven quantitative solutions to address business problems for sales and marketing operations in brand sampling, incentive compensation, goal setting and forecasting, customer segmentation and, sales force sizing and reach • Build statistical and quantitatively intensive models using big data to drive business results • Redesign and optimize analytics reporting frameworks• Drive insights and campaign evaluations to support marketing campaigns for a brand portfolio

Responsible for engaging with clients and internal stakeholders to plan and execute data driven analyses for advisory and client analytics projects in sales and resource optimizations problems using SAS, Microsoft Excel and Cognizant proprietary analysis tools.• Developed sales forecasting models, KPI dashboards and performance scorecards for a manufacturing and logistics firm using Excel, MicroStrategy and Tableau to communicate insights to client stakeholders and brand managers• As part of a team, synthesized statistical models for sales crediting and incentive compensation, which are now a standard process for the client organization• Collaborated with cross-functional internal teams to design and plan process data capture points for organizational data systems and created a reporting framework for rational project resource allocation• Developed Java based end-to-end e-gateway flows for a manufacturing and logistics firm based in America, that enables the client to transact business in real-time with their partners from over 150 countries

Part of a data driven optimization project with Performance Analysis Diagnostics and Optimization (PADO) Department. The objective of the project was to help BHEL plan their projects more efficiently with focus on inventory management.