Muhammad Irfan is a Bachelor’s degree holder in Chemical Engineering and currently pursuing a Master’s degree in Computer Science with a focus on automation in petrochemical plants, combining renewable energy and artificial intelligence technology. With over 4+ years of experience, he specializes in process engineering, safety engineering, and data-driven process optimization.as an engineer, he excels in utilizing Distributed Control Systems (DCS) to monitor, control, and optimize critical plant operations. His expertise includes overseeing daily plant activities, troubleshooting operational issues, and implementing improvements to enhance efficiency and reduce downtime.He is proficient in using advanced data processing and visualization tools such as SAP, Oracle, Tableau, Power BI, and SSIS for real-time data analysis, allowing him to provide actionable insights and improve decision-making. He has successfully optimized processes through data-driven methodologies, resulting in measurable performance improvements in plant operations.He integrates Internet of Things (IoT) technologies into process monitoring systems to enable real-time data collection and analysis, enhancing operational transparency and predictive maintenance. He has also developed decision models to optimize energy consumption in industrial processes, contributing to significant renewable energy savings and improved resource efficiency.He is highly skilled in HAZOP studies, HIRADC assessments, and ensuring compliance with safety and environmental standards. He is adept at interpreting P&ID, PEFD, and working with systems like PLC, DCS, SIS, and PSSR to maintain safe and efficient plant operations.With a strong combination of technical expertise in DCS operations, IoT, and data analysis, he consistently contributes to improving process efficiency, safety, and overall plant performance, making him a valuable asset in both operational and strategic roles.