As a data scientist at Solve Finance, I apply my skills and knowledge in web development and data analysis to create innovative solutions for the fintech industry. I am currently pursuing a master's degree in financial engineering at Cornell University, where I learn to apply advanced mathematical and computational methods to financial problems and opportunities. I have a bachelor's degree in statistics from the University of Toronto Scarborough, where I was involved in various student organizations and activities, such as UTFUN, a club that promotes cultural and academic exchange among students. I have also worked as a quantitative analyst at China Securities Co., Ltd, and as a data R&D engineer at MangoTV, where I gained valuable experience in data analysis, modeling, and visualization. I am passionate about finding insights from data and developing solutions that can improve financial services and products. I am always eager to learn new skills and technologies, and to collaborate with other professionals and experts in the field. My goal is to become a leader and an innovator in the data science and financial engineering domain.