Used SAP S4 HANA as an ERP System and integrated it with other fulfillment channels to make a streamlined ordering system and create a better inventory management channel.- After every phase of data migration, automated testing was carried out, and quick feedback on each round of revisions was undertaken and discussed. In order to prevent data loss during the transfer, the clusters and nodes to which the data was being transmitted were monitored.- For better cluster administration and a seamless distribution of files among the nodes on a single cluster in a data network, HDFS and Apache YARN were utilized.- Map Reduce programs were also used to help move massive datasets from one location to another using parallel computing, decreasing redundancy and increasing efficiency.

Support supply chain staff members by assisting in data gathering and analysis of the current state of service parts categorization and sourcing strategy. Assist with a wide range of supply chain projects including commodity research, part consolidation and sanitization, Kanban data cleansing, and manufacturing process automation. Microsoft Office, dependent and independent demand sourcing processes and principles Sales, inventory, and operations planning (SIOP) processes.

Worked with the Inventory Control team and Store Operations to ensure that the Inventory for all the 4 brands is synced to the WMI and Cognos System and ensure any differences are observed and rectified.- Utilizing inventory management software and tools to streamline processes and enhance data visibility, resulting in a 25% reduction in manual errors and a 30% increase in operational efficiency and pulling data to MS Access Database to gather data and use SQL Queries to combine data according to IC operation needs for better insights and reliability.- Identifying and implementing process improvements to enhance efficiency and accuracy in inventory management, resulting in a 20% reduction in labor costs and a 15% decrease in order processing time by reviewing Negative On hand Inventory data and compared results to create a forecast based on Shrink by Stores and Distribution Centers to identify the cause andresolve it to avoid shrink losses.- Handled Amazon DF Fulfilment Integration with SAP and processed Inventory moves between different channels to ensure that website ordering is always efficient and updated with latest stock entries.- Created Excel reports for reviewal by senior management to ensure that every problems in Shrink accruals, Channel changes and concealed shortages are brought to their attention and the changes suggested are applied periodically without any adherence to Ordering Platforms.

A smooth coordination was bolstered with other organizations and departments like Manufacturing and Quality Assurance so that all functions are operated in a timely manner.- Presented a forecasting and time series model based on previous batch production records and contributed to changes which reduced stockouts and recorded any inventory changes regularly for smooth functionality.- Used Arena Simulation and MATLAB FEA Toolbox to create temperature profile simulation of Melt-pool to accurately detect defects and improper heat transfer which was leading to high rejections of axle parts.- Actively participate in and lead portions of weekly cross-functional meetings and meetings with Sales/CustomerSkills - CAD (Creo Parametric), Ansys Mechanical Workbench, Mastercam, MATLAB, CATIA V5