Nitesh Prakash

 Consult Global Fortune 500 and 1000 companies to procure more from Spend data using innovative independent solutions most suitable with their Supply Chain Management
 Identify strategies and techniques for better management of Tail Spend, Maverick Spending, Compliance Management, Vendor and Invoicing Cost, Sourcing Categories
 Implement end to end spend analytics and sourcing projects for fortune 500 and 1000 companies.
 Examine and solve business problems by accurately analyzing the needs of clients and helping them achieve improved quality and value for their customers.
 Conversion of raw data from SAP system into a Business Model to be used directly by CEOs, CPOs, CFOs and top management of organisations.
 Performing data mining to identify potential saving opportunities.
 Demonstrate graphs and spend reports to SPOC for sourcing and spend visibility purposes.
 Collaborate with teams to synthesize the process of Data storing, analyzing, manipulation, transformation and delivering to client with emphasis on automation of process.
 Conceptualized the Artificial Intelligence logic for automatic Categorization and normalization of Spend data.
 Handled the technical team to implement Insight generation tool for Spend Analytics as a part CFO Analytics team of Capgemini.

 Driving from start to end for Creation of Spend reporting and categorization tools from development to delivery involving all process for SDLC.
 Examine and solve business problems by accurately analyzing the needs of clients and helping them achieve improved quality and value for their customers.
 Identify potential saving opportunities from client P2P data by using innovative spend techniques.
 Demonstrate graphs and spend reports to SPOC for sourcing and spend visibility purposes.
 Collaborate with teams to synthesize the process of Data storing, analyzing, manipulation, transformation and delivering to client with emphasis on automation of process.
 Leveraging the categorization knowledge of client’s commodities from manual information to automated & consistent categorization, using Zycus Artificial Intelligence (AI) based applications.