软件工程

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基本情况:孙同学,南京大学,软件工程,GPA 3.71,TOEFL 105,GRE 325 


录取学校:University of Chicago MS in Computer Science Specialization Data Analytics 


Please limit your responses to the following essay questions to 300 or fewer words. 


1. Please describe your career goals, both short and long-term, and how earning an MS in CS from the University of Chicago will help you to achieve these goals. 


After I experienced many projects in undergraduate and internships, I got interested in Data Analytics and plan to be an expert in this field. My interest in data technologies can be traced to my internship experience in a communications company. My job involved conducting Big Data analysis on the consumer terminal and handling the optimization of big data visualization products. The product is designed to mine the data necessary for users from the TB-level data and create chart-based visual presentation. Among my tasks is to use Bitmap to optimize the process of performing a simple logical operation on a particular type of data. The bit-based operation is a common method for improving the calculation speed. As I completed my tasks, I pondered on some questions on data processing, such as how more complex operations can be optimized and how more complex data can be analyzed when decision making is involved. 


I hope to find the answer through study the 12-Course MS in Computer Science Specialization Program, and focus on Data Analytics. My academic goal in graduate school is to gaining further skills understanding of cloud data, machine learning algorithms, data management and advanced analytics methods. The curriculum of this program fit with my goal very well. 


I hope to become an artist of Data Science in addition to an engineer in the future and hope to work in an enterprise that respects for technology and encourages innovation spirit. At this position, I can good at use of data mining in distributed computing, optimize of different types of databases and engine storage, and specialize in data analytics for decision-making support. The academic study and the unique internship opportunity offered by the University of Chicago can help me achieve my career goals more successfully. 


2. Describe a project, either academic or professional, that you are most proud of. 


I am highly familiar with algorithms, which I gained through my involvement in an algorithmic design and code development project for two semesters. The project was later rated a provincial innovation project. Through the study of stock strategy, I summed up the rules of quantitative trading of stocks, set up stock quantitative trading platform and was responsible for the realization of stock strategy and back-testing of several algorithms. The Stock Strategy Analysis System is a web-based application system. The backend uses python programming language and Django framework, while the front end uses BootStrap framework and Ajax technology. My responsibilities included the design and implementation of the morphology strategy module. The module includes three strategies, a stock strategy named 3K5K, Glanpearl averages strategy, and gap strategy. My exploration of the stock strategy yielded two achievements. First, the 3K5K stock strategy can be started from the K-line mode, and the traditional experience-based stock manager's winning strategy is machine-oriented, which can be improved through more intuitive and detailed strategy. Second, combined with the direction of data mining, the stock strategy can systematically analyze the technical indicators of stocks and use relatively mature data analysis algorithms to draw valuable conclusions.



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