미국 대학원 지원_SOP (Statement Of Purpose)_Grad Admissions_Univ of North Carolina at Chapel Hill_Business Analytics_Proofreading Service Verified
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I knew that I was on the brink of discovering a method to streamline my work, but I was already facing analytical challenges. For starters, I was almost completely dependent on the companys internal data, and it was very difficult to decide where and how to find relevant, accurate data from credible sources outside the company. Next, analyzing data and information that continuously changed or was affected by too many factors, such as the performance and well-functioning of newly purchased machinery, was problematic because such information was constantly fluctuating and hard to standardize. Finally, I needed a way to gather the necessary data automatically because mining data manually is time consuming and inefficient.
I unexpectedly found a potential solution for all of these issues while I was fulfilling my task at one of my suppliers, General Electric (GE). I was there because I was working on a power plant project that involved a gas turbine that needed to be examined. Once I arrived, I was surprised to learn about the company’s application of data collection and analytics to the turbine. After speaking to its analyst, I learned that sensors were installed to collect real-time data, which enabled GEs data scientists to remotely monitor the equipments performance from a centralized data center and improve its efficiency by optimizing the turbines system. Based on this encounter with GEs smart features, I began exploring the potency of data science and 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. In order to do so, I am well aware that there is much I need to learn. Once I realized that analytics is the key to overcoming my current analytical limitations, I became determined to learn more about statistics, mathematics and computer science as well as attain more sophisticated data mining, quantitative, and analytical techniques. It is for these purposes that I now aspire to pursue a graduate degree in interdisciplinary statistics and operations research on the business analytics track.
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