Ruoyu Z.

Data Science Intern at Behaivior
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Contact Information
us****@****om
(386) 825-5501
Location
US

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Experience

    • United States
    • Health, Wellness & Fitness
    • 1 - 100 Employee
    • Data Science Intern
      • May 2022 - Present

    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • May 2022 - Present

    • United States
    • Business Consulting and Services
    • 700 & Above Employee
    • Parttime Assistant
      • Jun 2020 - Dec 2020

      - Analyzed the sales data and M&A events of L’Oréal Group and summarized the findings in multiple spreadsheets - Investigated on China’s cosmetics industry and forecast the market size of China’s luxury cosmetics industry - Collected key operational indicators from financial reports of Americold, an American cold chain giant - Analyzed the sales data and M&A events of L’Oréal Group and summarized the findings in multiple spreadsheets - Investigated on China’s cosmetics industry and forecast the market size of China’s luxury cosmetics industry - Collected key operational indicators from financial reports of Americold, an American cold chain giant

    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Jun 2020 - Oct 2020

      - Performed statistical analysis of residents’ data received from an American nursing home using Python Pandas and visualized the statistical features with Python Seaborn - Built two Bayesian inference models based on Poisson-Gamma and Dirichlet-Multinominal conjugate pair to predict future residents’ number and simulated new samples using Monte-Carlo Markov Chain - Compared the prediction accuracy of two inference models with Z-Score normalization in R and finally selected the Dirichlet-Multinominal model with a mean absolute percentage error of 11.2%

    • Netherlands
    • Hospitals and Health Care
    • 700 & Above Employee
    • Research And Development Intern
      • Jan 2020 - Feb 2020

      - Examined the clinical effectiveness of Philips Respironics CPAP ventilators aimed at treating obstructive sleep apnea with R based on data collected from clinical trials - Evaluated current respiratory products in multiple dimensions and presented the product evaluation during a group discussion with senior research scientists to help the company reorganize the product line - Conducted market research about current sleep-tracking products and their characteristics and drafted literature reviews about the application of paced breathing

Education

  • Carnegie Mellon University
    Master’s Degree, Health Care Analytics, STEM certified
    2021 - 2023
  • 清华大学经济管理学院 Tsinghua University School of Economics and Management
    Minor in Economics, Economics
    2018 - 2021
  • 清华大学
    Bachelor’s Degree, Mechanical Engineering
    2017 - 2021
  • Shanghai High School
    High School Diploma
    2014 - 2017

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