As a research assistant at ETH Zurich, I work on applying data science and artificial intelligence techniques to various economic problems. I am proficient in Python, PyTorch, and TensorFlow, and have experience in statistics, probability theory, data structures, machine learning, deep learning, and graph neural networks. I am also a master's student at the University of Zurich, specializing in data science. My passion is to leverage statistical insights and cutting-edge technologies to drive meaningful impact in the field. Previously, I worked as a business operations associate at ZS, where I delivered data-driven solutions to a major US-based pharma client, uncovering invaluable insights that shaped their decision-making process. Curiosity fuels my drive to explore various domains and generate relevant insights from diverse datasets. I am fascinated by the process of discovering hidden patterns and trends, regardless of the data type or industry. I am always eager to learn new skills and collaborate with others who share my enthusiasm for data science and AI. I am looking for opportunities to apply my knowledge and skills to real-world challenges and make a significant difference.