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Data Analyst Resume

Washington, DC


  • 4+ years extensive teaching experience.
  • Seeking to solve analytical problems and develop models as a Data Scientist
  • Offering expertise in Statistics and Machine Learning.
  • 4+ years research experience, as well as skills in technical tools for data analysis.

Technical Skills

Statistics and Machine Learning: Regression, Tree - based model, PCA and Clustering, Experiment of Design, Survey Methodology, Neural Network, Bayesian Statistics, Time Series, Privacy Preserving Data Mining.

Technical tools: R, SQL, Python (pandas, scikit-learn, TensorFlow), SAS, Tableau

Work Experiences

Confidential, Washington, DC

Data Scientist


  • Defined a practical and rigorous metric for privacy protection in data collection from surveys
  • Developed a privacy protection method that has 30% less estimation risk than the state of art RAPPOR algorithm currently used by Google, Apple and other companies
  • Wrote 2 first-author papers and presented 4 talks at conferences and seminars


Data Analyst


  • Conducted exploratory data analysis and built linear regression models based on Baltic Freight Index to help make shipping business decisions and business planning
  • Supported engineers to monitor and analyze core data in shipbuilding progress used in project management

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