• Conducting file/Data Analysis on Large Data Sets of Spend data received from Customer• Importing files in SQL/Oracle database in coordination with ETL team• Classifying ERP/e-procure/ Catalogue Data to standard /customized schema/ taxonomy (UNSPSC).• Clustering and Scoping of the data as per agreed SLA. Followed by Normalization Activities• Resolving issues with processed data effectively with the Consultants/Presales.• Classifying and Building Models of historical spend data for application software.• Using MS Excel to make the Spend Data Audit for the same and Present the same to the Pre-sales dept.• Classifying and Building Models of historical spend data by leveraging the categorization knowledge of customer's commodities from manual information to automated repeated & Consistent categorization, using Zycus Artificial Intelligence (AI) based applications.• Perform Data Mining to identify potential saving opportunities.• Increasing Visibility of spend and proposing cost savings strategies viz: Purchase Price and Variances, Demand Aggregation, Payment Term Rationalization, Supplier Rationalization & so on calculate potential saving opportunities.• Worked on Projects Like NCR, Nidec Motor.

• Incharge of Mumbai region and Handling a Team of 6• Leading entire Order fulfillment, logistics Operations and looking after Sourcing of vendors • Fulfilling orders within the SLA and POC for central team for issues related to orders• Maintaining MIS of Daily Dispatch and Order Status reports and reporting to Head of Operations• Experience on Excel i.e. Pivot table, Vlookup and VBA Macros • Categories Handled Viz. Mobiles, Camera, Computers, Large Appliances & Entertainment (TV, DVD Players etc.)

• Handled Procurement across various categories like Media and Electronics• Providing regular reports and Analysis on suppliers performance• Order Fulfillment within SLA and taking care of Over SLA orders • Working on ERP for PO creation, cancellation, Payment Reconcillation etc• Vendor Management and Taking care of payment cycle• Making Daily,Weekly and Monthly reports using Excel and sending it to Top Management• Categories Handled Viz. Movies, Music, Games ,Mobiles, Large Appliances and Entertainment.