Samruddh Mulmuley

About Samruddh Mulmuley

I’m an Industrial Engineering graduate student at NYU with hands-on experience improving manufacturing and supply chain systems through process optimization, data analysis, and Lean methodologies.My work spans manufacturing operations, quality improvement, and supply chain modeling, including shop-floor layout optimization, process flow improvement, and the development of simulation and analytics models to identify bottlenecks, reduce variability, and support data-driven operational decisions. In parallel, I have worked on building AI-enabled tools for inventory management, cost–margin analysis, supplier evaluation, and decision-support dashboards, collaborating with cross-functional and globally distributed teams to align analytical insights with business and operational objectives.I’ve worked on projects involving Lean Six Sigma, process optimization, quality assurance, operations research, and data-driven decision-making, with exposure to aerospace manufacturing and complex global supply chain environments. I focus on translating analysis into practical, implementable improvements in real operational settings.Tools & methods: Python, Tableau, SQL, Excel, Minitab, SolidWorks, AutoCAD, simulation modeling, Lean/Six Sigma tools, and continuous improvement frameworks.I’m currently seeking full-time roles in industrial engineering, manufacturing engineering, supply chain engineering, operations, or process/quality improvement, where I can contribute to building faster, more efficient, and more resilient systems.If you’re hiring or collaborating on operational challenges in manufacturing or supply chain environments, I’d be happy to connect.

Experience

1. Engagement Ambassador Supervisor

   Ruffalo Noel Levitz

   Oct 2025 — Present · Manhattan, NY, US

Education

• New York University

  Master of Science - MS

  2024

• Manipal University Jaipur

  Bachelor of Technology - BTech

  2019 — 2023