Nikunj Padhiyar

About Nikunj Padhiyar

Experienced Process Engineer with 2+ years of strong background in Chemical Engineering and expertise in optimizing chemical processes for improved efficiency, product quality, and sustainability. Skilled in process modeling, simulation, and optimization using industry-standard tools such as COMSOL Multiphysics, MATLAB, Aspen Plus, and Siemens PCS 7. Proficient in lean manufacturing, process control, and data analysis techniques. Adept at collaborating with cross-functional teams, implementing process improvements, and ensuring compliance with environmental and safety standards. Focused on driving operational excellence and innovation.

Experience

1. Process Engineer

   Dow

   Oct 2024 — Present · Dayton, OH, US

   Worked on process modeling and optimization using COMSOL Multiphysics to simulate polystyrene foam production, focusing onpolymerization kinetics, foam expansion, and heat transfer, which helped optimize temperature, pressure, and blowing agentconcentration for higher efficiency.• Optimized key production parameters, including blowing agent concentration and temperature control, achieving an 18% drop in foamdefects, enhancing product quality and reliability, and aligning with Dow’s pledge to operational excellence and sustainability.• Increased production throughput by 10% by analyzing and adjusting reactor residence time and polymerization cycle times usingMATLAB-based optimization tools, improving production efficiency, and reducing overall downtime, resulting in smoother operationsand increased output.• Collaborated with R&D, quality control, and production teams in requirements gathering and process review sessions for that proposedchanges met operational, quality, and eco-friendly ethics, resulting in efficient teamwork and alignment with business objectives.• Implemented advanced process controls by incorporating Siemens PCS 7 for real-time monitoring and data analytics, improving and ensuring consistent foam product quality, significantly reducing variability in production runs.• Led constant process improvement initiatives using lean manufacturing techniques and root cause analysis tools such as Pareto analysisand Fishbone diagrams, driving a 15% improvement in operational efficiency while minimizing material waste and reducing costs.

Education

• GSFC University

  B.Tech

  2018 — 2022

• University of Dayton

  Master's degree

  2023 — 2025