S N Aditya Murthy

Key Responsibilities

• Development of Analytics platform for operational and strategic insights on Inventory Management across all geographies to create a LEAN value chain.
• Product Manager for Demand Planning, Long Term Revenue / Capacity Planning modules of Integrated Business Planning Platform (Kinaxis Maestro).
• Creation of a "Self Service Demand Planning Platform" leveraging Statistical and ML Forecasting methods to improve Forecasting Accuracy by 10% for a 5000+ Cr business.
• Development and implementation of "In-house Distribution Planning platform" using BI & Cloud Tools for 2% OTIF improvement in a 5000+ Cr business.

Key Responsibilities

• Creation of a Value Stream Digital Twin for a Sterile Manufacturing Facility for data driven decision making on capital expenditure & strategic improvement projects leveraging "Discrete Event Simulation" methods.

• End to end Process and Value Stream assessment to identify strategic lean improvement projects to reduce manufacturing lead time by 60%.

• Product owner for cloud based digital products (Multi Constrained Schedule Optimization, Performance Management Analytics) with end to end life cycle management and value delivery.
• Development of In house Production Planning tools to unlock ~10% average incremental capacity in Manufacturing Facilities that seamlessly Integrate with Integrated Business Planning (Kinaxis Rapid Response) and Enterprise Resource Planning (SAP - S4HANA) Platforms.
• Development of a prototype for Capacity Planning of a Sterile Manufacturing Facility for Long Term Capacity Planning.
• Program Manager for "Data Quality Improvement Program" for Supply & Production Planning Processes, resulting in >97% Data Quality across all manufacturing facilities of the organization.
• Stakeholder and Change Management for implementation and adoption of digital solutions to drive intended outcomes.
• Effective partner identification, assessment and engagement for delivery of business outcomes and value.

Transform with Digital (Manufacturing & Supply Chain)

• Spearheaded creation of ML-based digital application for Production Planning in packaging operations at 1 manufacturing facility, optimizing management of 600+ SKUs.
• Led the development of a KPI dashboard to monitor Supply Chain health (Forecast Accuracy, Backorders, Coverage, R vs C vs A, Supply Gap) to aid Supply & Operations Planning.
• Creation of Learning Module for Integrated Business Planning using Kinaxis Rapid Response for all users.

Lean Manufacturing Operations

• Conducted end-to-end value stream mapping for major products at one Sterile Manufacturing Plant to analyze and improve process efficiency.
• Identified key non-value-adding activities using Lean Six Sigma frameworks (AND, PERT, Fishbone and ECRS)
• Designed and implemented solution approaches for reducing non-value-adding activities through creation of Kaizen initiatives and Yellow Belt projects

Sales & Marketing

• Conducted market research to evaluate brand performance across geographies, competitor brands, and profiles of doctors and customers.
• Analyzed growth levers to identify opportunities for brand expansion in target market.

• Designed and scaled up processes for 3 Active Pharmaceutical Ingredients (APIs) using Quality by Design (QbD) principles.
• Conducted pilot trials and manufacturing validations for 3 drug products at cGMP and production scale setups, ensuring adherence to regulatory standards and successful scale-up.
• Developed and applied machine learning and analytics techniques for predicting polymorphic forms of APIs, improving efficiency and reliability in the development process.
• Executed 4+ troubleshooting and cost improvement projects, focusing on variable cost savings through process optimization and identifying automation opportunities to accelerate API process development.

• Developed recycling process for cleaning solvent used in Agitated Thin Film Dryers (ATFD), enhancing cost efficiency.
• Conducted proof of concept (POC) for novel crystallization process, resulting in 16% reduction in overall process cycle time.
• Developed and optimized crystallization and milling operations, successfully meeting diverse specification requirements for 12 different customers.

• Conducted end-to-end fat loss study across milk processing, butter manufacturing, ghee production, and ghee packaging, identifying key areas for improvement.
• Applied DMAIC (Define, Measure, Analyze, Improve, Control) approach to reduce defects, significantly enhancing efficiency of ghee jar packaging line.
• Optimized ghee residue fat recovery processes, resulting in 8.55% increase in daily yield of retail ghee.
• Reduced variable cost of retail ghee by 12.06% through improvements in manpower utilization, consumables management, energy efficiency, and yield optimization.