With over four years of work experience as a data analyst, I am passionate about applying machine learning and data visualization techniques to solve real-world problems in the process engineering and energy technology domain. I am currently working as a data analyst and machine learning thesis student at Evonik, one of the world's leading specialty chemicals companies. I value innovation, collaboration, and sustainability, and I am eager to contribute to Evonik's vision of creating a better future with smart solutions.At Evonik, I am responsible for feature selection and engineering for time series forecasting models, developing, testing, and implementing ML models for Risk Manager application, and creating user-friendly dashboards for tracking workflow and drawing insights from R&D laboratory data. I use Power BI, Power Apps, Python, and SAP suites to perform data analysis and visualization, and leverage my knowledge of kinetic modeling and biological systems to enhance the quality and accuracy of the models. I also collaborate with technology leaders, controllers, and business decision-makers to understand their needs and deliver data-driven solutions.