In my role as a Master Thesis Student at GROB-WERKE GmbH & Co. KG, I utilized metaheuristic optimization techniques within finite element simulations to enhance the performance and efficiency of our products and processes. My journey with GROB-WERKE spanned 12 months, during which I transitioned from an intern to a thesis student, acquiring valuable expertise in NX Open, computer simulations, and Python.Before joining GROB-WERKE, I served as a Research Assistant at the University of Duisburg-Essen. Here, I was instrumental in developing a Finite Element Method (FEM) solver for a project focused on numerical modelling and machine learning for fatigue fracture modelling.Upon completing my Master’s degree in Computational Mechanics from the University of Duisburg-Essen, I embraced the role of a Data Analyst at GROB-WERKE. This was a natural progression after earning my Bachelor’s degree in Mechanical Engineering from Dr. Ambedkar Institute Of Technology in 2018.In my current role as a Data Analyst at GROB-WERKE, my primary responsibility is to develop web-based applications using Python and Streamlit for data visualization. This role allows me to apply my core competencies in optimization, finite element analysis, numerical methods, machine learning, and programming. I am deeply passionate about leveraging these skills to address complex engineering problems and drive innovation and excellence in the realm of machine learning and simulation.