Working as supply chain consultant at Accenture Strategy, managing the design & development of analytical & digital supply chain planning solutions for optimizing & streamlining supply chain processes like demand planning, supply planning, inventory management, sales & operations planning, supply chain control tower for multinational clients across industries.• Managed various supply chain projects responsible for coordination with client’s supply chain team to understand the supply chain problem and gathering requirements, supervised data scientists, data visualization experts for deployment of several supply chain planning solutions• Multi-echelon Inventory Optimization – Multinational Manufacturing Project Title: Minimize inventory by streamlining the safety stock of products across DCs under demand & supply variability.Deliverables: Reduction in safety stock value by 7% resulting in significant reduction of inventory with a service level of 98%.Demand Planning Process Improvement– Multinational Manufacturing ClientProject Title: To re-design the demand planning process to provide an un-constrained demand plan based on statistical forecast, key promotions & business focus areasCase Pack Optimization – Multi-National Retail ClientProject Title: Design a data-driven case pack decision support system by optimizing end-to-end fulfilment cost enabling planners to decide how to best set up an item for fulfilment among pallet, case, inner or each.Supply Chain Control Tower for E2E SC Visibility Improvement - Major Retail Client Project Title: To design a supply chain control tower to enable to visualize, sense, respond & prevent end-to-end supply chain disruptionsSpare Parts Inventory Optimization – Multinational Automotive Client• Formulating a decision support tool for optimized inventory level for critical spares parts resulting in high service level.

Supply Chain Expert experienced & passionate about solving complex business problems structurally aiding in cost saving, process efficiency & improvement of operational,tactical & strategic decision making in organisations across industries. Worked as supply chain transformation expert in supply chain planning team of Schneider Supply Chain, responsible for the design & development of analytical & digital solutions across upstream, downstream or inventory management for timely problem identification & recommending solution for effective decision making.• Worked on the improvement of E2E demand planning process by increasing significant forecast accuracy of products including formulating a demand pattern segmentation framework, demand forecasting framework comprising of various advanced ML algorithms like MAPA, Neural Networks, Prophet etc., forecast bias analysis framework & demand planner forecast value add analysis framework.• Worked on designing multi-echelon inventory optimization tool leveraging advanced analytics to optimally calculate safety stock resulting in significant reduction in inventory.

• Working as Business Consultant in go to marketing team of Wipro analytics IP, managing the development of analytical solutions across domains to help clients in taking operational, tactical and operational business decisions effectively.• Demonstrated several built-in analytical solutions on the platform to several clients across industries highlighting the business relevance of the solutions consequently assisting in increasing the business for the platform. • Supervised and coordinated with data scientists, data visualization experts for deployment of several analytical solutions.Demand Forecasting Improvement – Multinational Manufacturing ClientProject Title: Minimize inventory holding cost by improving demand forecast accuracyResponsibilities• Assessed the quantified impact of forecast accuracy improvement on reducing inventory holding cost. • Analysed the impact of different exogenous and endogenous factors on demand of the product.Deliverables: Improved the forecast accuracy at SKU level by 21%. Asset Health Management – Manufacturing ClientProject Title: Minimize emergency outages, repairs and overtime expenses by predicting failures and scheduling appropriate maintenance activities in advance.Responsibilities:• Assessment of loopholes in current maintenance strategy of the company and engineered the roadmap to streamline the maintenance activities leveraging advanced analytics.• Coordinated with the client and data scientists team to identify the key factors causing failure of the asset.Marketing Mix Optimization – Multinational Retail ClientProject Title: Optimization of marketing budget by identifying the most and least efficient marketing activities.Responsibilities: • Analyzed the effectiveness of each marketing element in terms of influence on sales• Formulated the workflow of to adjust marketing tactics and strategies based on learning from data science result.

Project Title: Strategic assessment of supply chain and logistic operations • Analyzed current supply chain of the company, Transport Network, Logistic Service Provider selection process, current cost structure and identified operational gaps and suggested solutions to make operations more efficient and cost effective.• Designed a new Transport Network design using cost optimization models and formulated a new LSP selection mechanism for seamless delivery among different business verticals after analyzing all inbound and outbound logistic data with different statistical models using Statistical tools like R and SAS.• Explored the possibilities to engage 4PL to optimize cost and efficiency and recommended a new mechanism for long term sustainable LSP relationship.

• Worked as a technical analyst in a cross-functional team assisting in software development for a Germany based automobile company and acted as point of contact for information and requirements gathering from the client• Designed, developed and implemented various functionalities that helped in achieving operational cost and time saving by automating various processes of the application.• Independently developed a tool for automatic installation of new versions of the application on IBM WebSphere application server. Received accolades for top performance.• Demonstrated cost benefit analysis of introducing new functionalities in the application to management team of the client resulting more business from the client. • Proposed and remodeled the way of information sharing between our team and the client.• Supervised a team of four people for successful deployment of new versions of the application..