Syed is a senior chemical engineering professional with an extensive combination of experience, education and research in predictive modeling, simulation, and control of multiple global manufacturing and research processes.
He has been responsible for the improvement and implementation of measurements and controls architectures for different industrial processes.
Using measurement and PAT data, he has experience similar to a data scientist in that he has used advanced data analytics, machine learning, and design of experiments-statistical root cause analysis of process variability to find opportunities for control.
After opportunities arise, he acts as a control engineer in charge of implementing advanced control solutions with Distributed Control Systems (DCS) and Programmable Logic Controllers (PLC).
To accomplish such tasks, he has a strong background in project and people management, leading teams of up to three direct reports and over ten indirect reports by which implementation led to up to 40% reduction in variation.
His specialties include: Multivariate Analysis, Principal Component Analysis (PCA) and PLS, Design of Experiments (DOE), Measurements and Controls (PAT), Advanced Process Control (APC), Model Predictive Control (MPC).