As a Mechanical Design Engineer with a Master’s in Industrial Analytics at Uppsala University, I specialized in the integration of data-driven decision-making with advanced engineering principles. My thesis work at Alfa Laval focused on developing an Input Data Framework for Discrete Event Simulation-based Digital Twins, which significantly improved manufacturing efficiency by reducing lead times by 31%. This project deepened my expertise in data analysis, simulation modeling, and digital transformation strategies for intelligent manufacturing systems.Throughout my master’s, I honed skills in supply chain optimization, digitization, and data management, while also leading key projects in AI, data mining, and industrial optimization. These experiences equipped me with a solid foundation in using tools like Apache Spark, Hadoop, and Tecnomatix Plant Simulation to solve complex engineering challenges, positioning me to contribute to the future of intelligent manufacturing and product development.I have developed expertise in 3D CAD modeling, PLM systems, and simulation techniques, which I’ve applied to real-world challenges in both product design and supply chain optimization. From designing fixtures for defense technologies to creating data-driven solutions for manufacturing, my work has consistently focused on improving efficiency and reducing lead times.