“It always seems impossible until it is done.”I am an optimistic challenger. Before I study information systems, I was a Ph.D. student majoring in environmental engineering. However, the more I advance in environmental science, the more important the role data science plays. Data mining technology, artificial intelligence, and software design are crucial parts of solving current environmental challenges, such as global warming, air pollution, and acid rain. I believe mastering knowledge from both environmental and computer science is conducive to working out major environmental challenges facing our planet and help us understand how these challenges can be solved through advances in computer science and artificial intelligence. In spite of a lot of difficulties, I proactively sought out opportunities to make a difference in environmental fields. I want to emphasize my problem-solving, fast-learning capability, goal-oriented mindset, educational background, and work experience, which I believe make me a potential candidate for this role.Programming Languages: Java, C++, JavaScript, Python, R, MySQL, HTML, and CSS. Database: MongoDB, MySQL, Microsoft Access, Redis, Oracle SQL.Framework: Spring, React, Node.js, Bootstrap, Angular, VUE.js.Technologies: Restful API, Bootstrap, Maven, Grade, Git, AWS.