United States
Developing a real-time plant data analysis tool in Python that applies machine learning to troubleshoot and optimize process control systems within Dr. Romagnoli’s research group.
Supported operations in the chlor-alkali unit, strengthening technical knowledge and teamwork skills while collaborating with engineers and operators. Led an experimental study that validated implementation of a new reactor projected to generate $10M+ in annual site savings. Executed a project upgrading the chlorine railcar loading reducing maintenance costs by $200K+ annually.
Performed an energy efficiency assessment at a large, complex refinery of a major oil and gas company. Identified energy saving opportunities by discussing unit design and operation with process engineers during a two-week onsite review.