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미국 대학원 지원 SOP(GIT Analytics)에 대해 기술한 참고자료입니다.

저작시기 : 2021년 1월

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During my time as a procuremen
t associate in eTEC E&C, I analyzed data to attain information that greatly enhanced the efficiency of my work. However, I was facing analytical challenges. To list a few, I was almost completely dependent on the company's internal data, and it was very difficult to decide where and how to find relevant, accurate data outside the company. Next, analyzing data that continuously changed or was affected by too many factors, such as the performance of machineries, was problematic because such information was hard to standardize.
I unexpectedly found a potent
ial solution while I was examining a gas turbine for my power plant project at one of my suppliers, General Electric (GE). I was surprised to find out its application of analytics to the turbine. The sensors were installed to collect real-time data, which enabled GE's data scientists to remotely monitor the equipment's performance from a centralized data center and improve its efficiency by applying analytical solution to optimize the turbine's system. Based on this encounter with GE's smart features, I began exploring the potency of analytics. The connection between data and machine and the utilization of valuable information derived using analytical data was an innovation that could revolutionize my analytical methods.
What intrigues me most about
this field is the concept of data discovery, namely, discovering insights and developing data-based products, services, or features, which enable data scientists to not only support businesses by assisting with management-level decisions, but also by offering new products or features that enhance the user's experience, and generate new channels for profits. LinkedIn'sPeople You May Know, which provides users with a list of people it thinks the user is likely to know, is an example of data product I aspire to develop. I find the concept of data discovery especially fascinating because I realized during my work there is no position at eTEC that performs both a supporting role and is directly involved with developing products; instead, each of these tasks is strictly divided between engineers who designed structures and personnel like myself who supported their endeavors by implementing cost control measures and procurement. With analytics, I could take on both roles, allowing me to make greater contributions to the business by not only optimizing the decision-making and business operation, but also creating new lines of revenue through development of data-based offerings, which is the type of work that I hope to focus on during my career.
To prepare for my academic an
d career goals, I learned principles of Java programming from UCLA and completed a 6 month full-time IT training program offered by the Korean government through Soldesk, a government sponsored IT educational institution. During this program, I learned how to construct complex algorithms and use SQL to store, query and manipulate data by gaining hands-on experience in Java, JSP, Android Studio, R, Linux, Oracle SQL andMySQL as well as completingtwoteamprojects. These studies built upon the quantitative and analytical skills I had developed during my previous work and undergraduate studies in economics, helped me equip myself with the essential tools I will need to succeed in my higher studies at Georgia Institute of Technology. In addition,I am currently taking"Linear Algebra and Differential Equations"course to better prepare myself.
GIT's initiative and enthusia
stic approach toward data science and big data application makes its Analytics program the perfect choice for my academic interests and career goal. With its strength in creating innovation by linking research and education through the Institute for Data Engineering and Science and its various centers covering broad research areas, specifically machine learning, algorithms and optimization, and energy infrastructure, I am confident I will be able to fulfill them.
   (이하 생략)

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