As a dedicated Data Analyst with a solid foundation in Industrial Engineering and a passion for leveraging data to drive strategic decision-making, I thrive on transforming complex data sets into actionable insights. Currently pursuing my MSc in Data Science at Sabancı University, I am specializing in the application of machine learning and graph neural networks to solve real-world problems, such as my thesis on "Solving Exam Scheduling Problem Using Graph Neural Network"With hands-on experience at TEMSA, I have successfully led the design and development of multiple dashboards that have enhanced decision-making processes across various business functions, including Finance, Strategy Development, and After Sales. My work involved collaborating with cross-functional teams to ensure data solutions were aligned with business goals, implementing advanced data visualization techniques, and developing ETL pipelines to maintain data integrity.I am driven by curiosity and a continuous desire to learn, which is reflected in my journey from an undergraduate degree in Industrial Engineering to a minor in Business Analytics, complemented by an exchange program at the National University of Singapore. My technical skills include proficiency in Power BI, SQL, Python, PyTorch, Azure Data Factory, and Microsoft Fabrics, which I continually refine through practical projects and ongoing academic pursuits.