Thashika Rupasinghe

About Thashika Rupasinghe

A purpose driven award-winning Data Analytics & Supply Chain professional with 15 years of demonstrated success in developing and executing digital, data analytics strategies to unlock value • Specialized in designing and developing innovative end-to-end digital solutions, advanced data Analytics platforms, and AI-based solutions for complex modelling problems such as Supply Chain Optimization, Financial Reporting & Control, Manufacturing Engineering and Intelligence, Customer Collaborative Demand Planning, Logistics and Transportation, Continuous process improvement (Lean-Six Sigma, Supply Chain 4.0 & Industry 4.0) • Strategized, led, & published outcomes of large-scale projects which resulted in wining 23 international and national awards, 67 international scholarly publications, and speeches presented at 58 international conferences in the areas of Supply Chain Optimization, Data Analytics, and Digital Transformation, and Industrial Systems EngineeringKEY SKILLS + Advanced Analytics Strategy, & Innovation + Customer Value & Experience Optimization + SAP, Python, R, SAS, SQL, & Computer Simulation + Machine Learning, Deep Leaning, Mathematical Optimization, & Metaheuristics +Digital Transformation & Change Management+ Leading, coaching, and mentoring cross-functional teams

Experience

1. Director - Sales & Operations (Digitalization & Analytics)

   Mas Acme Usa

   May 2024 — Present · NC, US

   Leverage appropriate state-of-the-art Digital technologies and Advance Data Analytics as enablers to design, engineer, and deploy innovative solutions within the Sales/Marketing, Operations, and Supply Chain domains to enhance efficiency, performance, and collaboration within the sales organization to ultimately contribute to the achievement of revenue goals and business objectivesShape and lead enterprise level digital and analytical strategies and execution for improving performance of the organization’s goal to deliver an exceptional customer experience Identify strategic and operational initiatives utilizing, Statistical Forecasting, Customer Collaborative Demand/Supply Planning, Inventory strategy identification and application, and the appropriate digital tools with AI and Machine Learning for process improvement and to drive the appropriate change management needs

Education

• Clemson University

  Doctor's Degree, Industrial Systems Engineering

• University of Kelaniya Sri Lanka

  B.Sc. in Industrial Management , Engineering/Industrial Management

  2000 — 2004

• Chartered Institute of Logistics and Transport

  Chartered Member of the Institute of Logistics and Transport, Logistics and Transport

  2009 — 2009

• Clemson University

  Certificate in Teaching Undergraduate Engineering, Engineering

• Clemson University

  M.Sc in Industrial Engineering , Industrial Engineering

Skills

• Demand Planning
• Minitab
• Logistics
• Materials Management
• Inventory Management
• Forecasting
• Continuous Improvement
• Sap
• Six Sigma
• Industrial Engineering
• Sql
• Project Management
• Management
• Leadership
• Lean Manufacturing
• Sap Apo
• Research
• Supply Chain Management
• Microsoft Office
• Microsoft Excel
• Supply Chain Optimization
• Supply Chain