미국 대학원 지원_SOP (Statement Of Purpose)_Grad Admissions_Univ of Oklahoma_Admitted

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However, I was facing analytical challenges. To list a few, 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 output of machineries, was problematic because such information was hard to organize. Moreover, I needed a way to gather the necessary data automatically because mining data manually is time consuming and inefficient. I was thus curious about the way my suppliers and subcontractors handled these problems and explored their efforts. I found a potential solution while I was examining a gas turbine for my power plant project at one of my suppliers, General Electric (GE). After speaking to its data scientist, I learned about the application of data collection and analytics to the turbine. The sensors were installed to collect real-time data, which enabled the data scientist to remotely monitor the equipments performance from a centralized data center and improve its efficiency by applying analytical solution to optimize the turbines system. Based on this encounter with the companys smart features, I began exploring the potency of analytics and data science. The connection between data and machine and the utilization of valuable information derived using analytical data was an innovation that could help me revolutionize my analytical methods. In order to make more effective quantitative data-based decisions, I need more advanced skills. I realized that analytics is the key to overcoming my current analytical limitations and became determined to learn more about statistics, mathematics, and computer science to attain more sophisticated quantitative and analytical techniques such as statistical analysis, machine learning, and optimization. It is for these academic goals that I now aspire to pursue a graduate degree in analytics.
What intrigues me most about this field is the concept of data discovery, namely, discovering insights and applying them to products, services, or features to enhance their quality by using the information extracted from data. In particular, I find the concept of data discovery crucial in my future career because it became an essential element in the field of industrial machinery and plant construction. Through data discovery, the industry is finding ways to reduce operational costs. For example, with advanced analytical methods, unscheduled maintenance that entails costs for dispatching engineers can be avoided. My career goal is to become a data scientist with domain expertise in industrial construction and machinery, focusing on effective procurement, cost minimization, and efficiency optimization, and I believe the study of data science and analytics is a must in order to thrive in the field.