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  • M.S. Student at Northeastern University-Silcon Valley Campus
  • Ph.D Boston University
  • B.A. Northeast Normal University

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Programming Languages
  • Java; Python
Statistic Skills
  • - Structural Equation Models, Latent Curve Models, Hierarchical Linear Model and Multilevel Modeling
  • - Machine Learning: Classification, Linear/Logistic Regression, Clustering/Segmentation
Research
  • - Design experiments to collect human behavior data
  • - Survey design, behavioral observation and coding
  • - Experienced with Psychophysiological measurement, qualitative and quantitative data analysis
Data Analytics and Visualization Tools
  • Experienced with Excel, Numpy, Pandas, scikit-learn, seaborn, SPSS, AMOS, Mplus, HLM and Tableau
  • Survey Tool: SurveyMonkey and Qualtrics
Data Science Projects:
  1. West Nile Virus Prediction:
    Used various machine learning methods, including K-folds cross validation, decision tree, and k-NN in logistic regression model, to find features that predict whether mosquitos have virus.
    (Github: https://github.com/sososummer88/Kaggle-West-Nile-Virus-Projec)
  2. Rossmann Store Sales Prediction:
    Used decision tree, k-NN, K-folds cross validation in linear regression model to predict sales of Rossmann stores.
    (Github: https://github.com/sososummer88/Rossmann-Store-Sale---Kaggle-Competition)
  3. Boston Housing Value Prediction:
    Implemented machine learning models, including linear regression model (train-test split & k-NN), to find features that predict housing value in Boston.
    (Github: https://github.com/sososummer88/Ames-Housing-Data)

Publications:

Current Courses:
  • Web Development
  • Algorithms