Business Process Management and Process Analytics domain with technical as well as business knowledge. Working towards process performance improvement, process gap assessment, business requirements gathering, data management and driving business value by using Celonis, Alteryx and Microsoft PowerBI

PROJECT A: Spend Analytics at Beer Manufacturing ClientDevelop & Roll out Spend Analytics• Identified Savings Opportunities pertaining to Indirect Spend on various hypotheses like Tail Spend, Purchase Price Variance, Negotiation Potential on Purchase requisitions and Purchase Orders• Developed PMO governance for Spend Intelligence• Spend Cube creation to map the PTP process with the help of SQL queries and SSAS• Data gathering, Cleaning, and validation to ensure the sanctity of the hypothesis• Data Visualization with the help of PowerBIPROJECT B: Order to Cash cycle Process Improvement at Consumer Goods ClientDelivery Consultant for a global Product developed on Azure Data Lake• Performance improvement of the Order to Cash Cycle on various KPIs such as Order Automation, Order Invoice Accuracy, Dispatch Rate, Order Change analytics, Customer Case Fill On time in full, End to End Lead time, Overdue aging, Cash applicable on time, Upcoming payments, Order Status, etc.• Design data flow process from the Source system (SAP, PEGA, etc.) to Business Data layer, Azure Analytics service layer till Front end PowerBI layer• End to End project delivery by gathering business requirements and developed the product through 3rd party vendors. PROJECT C: Digital Transformation of Supply Chain at Tobacco Industry client• Design As-Is process mapping in coordination with Cost Lead and Program manager along with their teams• Maturity model assessment • Design To-Be process and roll out implementation plans for possible change requests

1. Monthly Demand Planning process (3 months rolling sales forecast) with demand planner & generation of statistical forecast as input to demand planning and communicate to stakeholders2. Monitoring sales trend on weekly/fortnightly basis and highlight outliers to the concerned3. Monitoring performance against forecast, analyse, develop root cause analysis and work with sales to improve on accuracy levels4. Visibility to plant production team for production scheduling with inventory trigger alert5. Centralized Dispatch and Stock replenishment planning across CFAs at all India level6. Inventory control and management by maintaining defined service levels (OTIF, CFR, LFR)7. Monthly analysis of the slow and obsolete stocks (SLOB) and developing liquidating plans with sales team8. Contribution in S&Op process and maintain related MIS with the help of SAP

Sales growth strategy (Vending Channel) for Delhi regionParameters considered1. Push cart effectiveness2. Increase Reach - Machine reach & focussed SKU placement3. Sampling Activation