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Master Statistics, Deep Learning, Chinese Applicant

I always found statistics interesting and useful. It is amazing that behind seemingly messy and irregular numbers, hides the patterns in data and solutions to many problems. Using statistical methods to analyze data is like solving a puzzle to me. I am currently a senior at the University of XXXX, triple majoring in Economics, Financial Math and statistics. I chose these three majors because I believed that an economics major provided a venue for applying my statistical learnings while a math major complemented my passion with a strong theoretical foundation in quantitative analysis. Now, I hope to be accepted to study towards the Master’s Degree in Statistics at XXXX University.

During my junior year, I realized the limitation of simple machine learning algorithms and became interested in the concept of deep learning and neural network: to allow computers to learn itself. I finished the book Deep Learning by Ian Goodfellow and started to learn deep learning under the guidance of professor XXXX. During the process, I used neural network mindset to conduct classification on several data sets to detect the picture pattern. I also researched and analyzed the house pricing data in the US from 2016 to 2017. I used random forest imputation to deal with huge amount of missing data and fit generalized linear models to test for association between sale price and different house features. Finally, I used deep learning mindset to predict the log error of Zestimate (a widely used estimated market value for an individual home) and actual sale price of house using the data from 2016 to 2017.

Under the guidance of professor XXXX, I also took part in a research project that investigates Chinese stock market during 2015 stock market crisis. We focused on investors’ margin and short trading behaviors in order to study their mindsets during the crisis. We also researched and analyzed stock data from ETF 50 and conducted clustering on time series data to find the abnormal company behaviors during the crisis. I am listed as one of the co-authors for the paper, “Dynamics of Boom and Bust: Analysis of Investor Behavior During the 2015 Chinese Stock Market Crash”, in submission to the Journal of Behavioral Finance.

I have experience in R, SQL, Python, MatLab and Stata. In addition, I am familiar with C, C++ and Mathematica. I am also currently learning SAS.

My previous research compels me to continue research in either theoretical or applied statistics field. As I imagine my career plans today, they include research and consulting regarding statistics. I believe that the master program in Statistics at XXXX University can provide me with an environment where I can improve my knowledge and skills in statistics and help me pursue my career goal.

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All of the Statement samples on this web site were written more than 2 years ago and all are anonymous.

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