미국 대학원 지원_SOP (Statement Of Purpose)_Grad Admissions_Columbia Univ_Data Science_Proofreading Service Verified

미국 대학원 지원_SOP (Statement Of Purpose)_Grad Admissions_Columbia Univ_Data Science_Proofreading Service Verified-3

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2021.01.19
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What intrigues me most about this field is the concept of data discovery, namely, discovering insights and developing innovative data based products, services, or features by using the information extracted from data. These skills enable data scientists to not only support businesses by assisting with management-level decisions that help the business run efficiently, but also by offering new products or features that enhance the users experience, and generate useful information for them. LinkedInsPeople You May Know feature, 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. Data discovery encapsulates thethree main themes I focused on during my undergraduate studies in economics: efficiency optimization, changing economic policies, and the pursuit of technological progress to spur economic growth. I first learned how to optimize economic efficiency by solving for the equilibrium between supply and demand of a market, then finding the highest output from using resources, such as labor and materials, for manufacturing. Next, I examined the effectiveness of financial and other governmental policies and investigated the best options through which to stimulate economic growth under the given circumstances. Third, I studied the Solow model, which stresses the need for technological progress in order to sustain economic growth.
In studying these phenomena, I realized that the main themes can be applied to businesses as well. Optimizing efficiency of a businesss operations enables significant gains for the business in the long run. Making the most informed organizational decisions regarding policies and strategies of a business can enhance its economic prosperity, and the technological advancement that enables corporations to offer new innovative products to their customers, use fewer resources to create more goods and help them run businesses more efficiently is the essential factor to sustain the prosperity. Each of these themes heightened my interests in improving business operations by optimizing their processes and use of resources, and performing data-driven analyses to make better decisions. In the process, I hope to accelerate technological development by creating products with the data discovery aspect of data science to generate tactics with which to perform individual and organizational tasks more efficiently. In particular, I find the concept of data discovery fascinating because I realized during my work that 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 streamlining material procurement. As a data scientist, I could take on both roles, allowing me to make greater contributions to the business by not only reducing costs, but also creating new lines of revenue through product development, which is the type of work that I hope to focus on during my career. Therefore, while pursuing my degree in data science, I would like to concentrate on learning and researching methods to incorporate statistical, mathematical, and computer-based skills that would optimize the decision-making process and business operation efficiency, and lead to creative ideas to develop viable data based products.

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