Kshitij Mehta

About Kshitij Mehta

Next move for Kshitij is Senior Supply chain Analyst /Supply Planner.The world of Supply planning is never boring.Stuff Kshitij know:* S & OP* SAP SD* Blue Yonder* Data Analysis* Team Building* Supply Chain Management* Vendor Management* Inventory management* Replenishment* NPI* Advance Excel* Python* TableauKshitij is good at:*Analyzing data and using what he learn to improve forecast accuracy*Co-ordination with salespeople on how to manage their item forecasts - and keep them out of trouble*Maintaining data integrity in the forecasting system so that our supply teams can use this data to plan their production*Tracking shipments using SAP and Excel to see how these impact the forecast*Developing reports to help customers and sales people see the impact of various forecasting strategies*Using customer data to align our forecasts with their expected purchases*Building strong relationships across the organization so that he can help other people with questions and get their insights into how to improve our company\'s performance*Collaborating with customers to effectively manage planning and program execution.*Always open to learn about new opportunities in the world of Supply Chain management

Experience

1. Supply Chain Advisory Analyst

   Accenture

   Feb 2022 — Present · Airoli, IN

   Business Analyst in the Parts Management team for a large Aerospace organization.• Preparing client deliverables: Stock Load leveling, refurbishment supply chain, using AI powered JDA tools.• Generating data uploads and optimizing inventory levels as per savings generated.• Business Case: Creating recommendations for stock repair leading to savings of 1Mn £ per business cycle.• Updating supersession parts for optimizing repair cycles for parts• Manage Complexity: Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.• Optimize work process: Knowing the most effective and efficient processes to get things done with a focus on continuous improvement.• Preparing and updating work instructions: Creating and timely updating work instructions for newly implemented scope of work.• Forecasting: Importing data from client share point and uploading into Azure Data factory for the outputs and processing it through Python models for event-based forecasting.• Data Discrepancy: Handling the data discrepancy.• Team Support: Supporting manual process requiring automation with technicalities.• Suggest and drive process improvement programs• Master Data Maintenance: Maintained detailed documentation of process flow diagrams and operational support• Material Planning: Maintaining the reorder level and safety stock• Plan for each part: Planning for high moving parts, unmet demands and urgent parts• Working on Root cause analysis for errors and issues.• Leveraged client data and available insights to improve alignment of business priorities and utilization of resources• Conceptualized and built a model for wrongly positioned Inventory

Education

• All India Shivaji Memorial Societys College of Engineering, Pune

  Bachelor's degree, Mechanical Engineering

  2013 — 2017