About me

Highly motivated individual who has years of working experience in structured finance and data research, covering full product cycle including pricing, modeling and data production; with academic background in Data Science and Mathematical Finance, interested and passionate about applying quantitative methodology and new technology to business; Fast-learner, problem solver, enjoys working with smart people to study the hidden connections between diverse environments.

Education

• M.S. in Data Science - Columbia University
  GPA: 4.0/4.0, The Fu Foundation School of Engineering and Applied Science
  Currently pursing my master degree of Data Science at Columbia. Expected to graduate in Dec 2021.

• M.S. in Mathematical Finance - Rutgers University
  GPA: 3.91/4.0, Department of Mathematics
  Graduated in May 2017.

• B.A. in Finance - Zhejiang University
  GPA: 3.86/4.0, School of Economics
  Graduated in Jun 2015, honor graduate.
  Academic Excellence scholarship
  Sumitomo Mitsui Banking Scholarship

Programming Skills

• Technical Skills:
  Python, R, SQL, C++, C#, EXCEL VBA, HTML, Bloomberg, Git

• Cloud Services:
  Google Cloud Platform, AWS

• Libraries and Frameworks:
  NumPy, Pandas, Matplotlib, Scikit-learn, BeautifulSoup, NLTK, Gensim, PySpark, TensorFlow, Keras

Professional Experience

• Financial Engineer - Moody’s Analytics
  New York, NY
  Currenlty working at Moody’s as a Financial Engineer

• Quantitative Analyst - Thomson Reuters
  New York, NY

• Research Analyst - Burgiss
  Hoboken, NJ

Contact me

For any inquires, you can reach me via email: gs3012@columbia.edu