I am an Industrial Data Scientist specializing in the intersection of chemical engineering, predictive modeling, and Industry 4.0. I develop dynamic, data-driven digital twins that precisely mirror physical systems and chemical processes to enable powerful what-if simulations. My expertise includes analyzing complex production data and IoT sensor readings to extract actionable insights, identify optimization opportunities, and predict potential equipment failures. Furthermore, I conduct advanced process research and mathematical modeling to design and optimize chemical reactions, improve overall operational efficiency, and drive strategic decision-making in manufacturing environments.