The Importance of Efficiently Handling Large Volume of Data Online

In today’s global market, businesses need to be able to handle big data to ensure that they provide better services and outcomes.When I first used Spotify, themost popular music streaming service, I was thrilled to encounter its ‘Discover Weekly’ service. Spotify uses a collaborative filtering algorithm to recommend its users a personalized list of songs. However, my experience with a Korean music streaming service, ‘Melon’, was not on par to my experience with Spotify’s system.

Therefore, I use Spotify because of its emphasis on data analysis for personalized service. From this experience, I found out that it is the top priority to establish an optimal strategy on how companies utilize massive data from customers to succeed in a highly competitive global market. The practical advantages of handling large data are becoming more indispensable for companies to have the advantage over competitors and to expand their service range. For these reasons, I wish to broaden my knowledge and pursue graduate studies in the field of data analytics, artificial intelligence, and machine learning.

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To prepare for the program, I’ve made a critical analysis on why some programsfail to satisfy their customers. During senior year in my college, my final project was awarded first place in the programing competition.I saw most undergraduate students focusedonly on the technical process to develop programs. The programs themselves are intriguing but not actually useful, because ofits lack of sufficient data about thepotential customer’s needs. To avoid this, I analyzedinformationfrom diverse market research websites to decidethree factors:who was our target, the target’s problem, and what kind of smart device could solve the problems.With these researches, I created a website and web application,which run on smartwatch, for presentation.

The watch is used as a substitute for wireless presenter. This service offers two different modes, which are practice and presentation option, and it serves the useful functions to each mode for successful presentation without using PowerPoint. I set up aweb server environment and built database system for storage, transmission, and management of user’s data between the smartwatch and the website. Based on user’s data, the website givesthe users feedbacks in various ways after presentation, whichallows them to have better presentations. I realized that consumer wanted the precise and practical data to improve their activities. This service was praised by the judges for the utility of data that were focused toward its users.

As a member of the Internet Marketing Department at Dooco, Inc., Distribution & Marketing company in South Korea, I have leamedhow to approach problems-solvingin business. Also, I have leamedhow to integrate my engineering knowledge with business strategies and how critical teamwork is to the success of any projects. At Dooco, I created a Java-based template system forour e-commerce business. Because Dooco has a lot of websites for a variety of products: Car Electronics, Packaged Foods, Household Supplies, and so on. Thestandardized format inthetemplate systemnot only increased the efficiency of development and maintenance, but also, simultaneously, decreased the cost of both.I also developed modules for the template system used for establishing marketing strategy.For instance, they analyzed customer’s purchase history, which enabled our company to predict consumer’s next purchase. As a result, Doococould build e-commerce environmentfor statistical analysis of customers and market, which increases the profitability and efficiency.

Through these valuable experiences, I have gained a practical insight into how data analysis improves consumer’s convenience and company’s efficiency. I have learned that companies could utilize massive data for their advantage, especially in providing consumers with better products and services. I am confident that my programming skillswill help me to contribute to the USC’s intensive classes: Data Mining, Information Visualization, Social Media Analytics and so on. These classes will enhance my knowledge of interpreting, organizing, and visualizing data. Also, the skills I learn from these classes will help me organize and execute the ideas discussed in school. Moreover, communication skills for planning projects in schoolandcompanywill help me foster productive discussions with students from diverse backgrounds. I am prepared to take full advantage of the Career Network mentoring platformthat will help guide my career.

I specifically choseUniversity of Southern California because the school’s program focuses on the applications of technical knowledge and skills to thechallenges in a broad range of areas. USC’s world-class faculties, strong alumni community, and multidisciplinary research make the program prestigious. I believe my skills and motivation in enhancing data analytics, machine learning, and strategic use of information for businesswill beproductive at USC’s graduate program.I am especially interested inProfessor Dennis James McLeod and Professor Viktor K Prasanna’s research on personalized information management and customization, data integration, and applications of machine learning, have me interested and eager to collaborate work with the faculty. From these prestigious professors and their groundbreaking works, they would make my experience at USC a challenging and enjoyable one.

These days, most global companies look for professional data scientist. I am certain that USCis the place where I can deepen my knowledge and skills to succeed as an innovative data professional in today’s competitive market. I desire to participated in internship or Co-Op to develop my career as well as my general understanding of engineering and business.After I complete my degree at USC, I would like to make a substantial contribution to devise a business platform which helps small businesses to connect with proper partners.

As this platform, much like Spotify’s ‘Discover Weekly’ service I mentioned earlier, synthesizes large analyzed data among companies, it will allow small businesses to connect to more personalized partners for successful collaboration. Also, if I necessarily need to research further, I would like to participate in research projects, such asalgorithm for elaborate recommendation system and business intelligence analytics.

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