Yuqing Yao

Project Management Manager at Columbia Women in Data & Technology
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Contact Information
us****@****om
(386) 825-5501
Location
US

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Credentials

  • Intermediate Python
    DataCamp
    Dec, 2022
    - Nov, 2024
  • Introduction to Data Science in Python
    DataCamp
    Dec, 2022
    - Nov, 2024
  • Case Study: Exploratory Data Analysis in R
    DataCamp
    Sep, 2022
    - Nov, 2024
  • Data Manipulation with dplyr
    DataCamp
    Sep, 2022
    - Nov, 2024
  • Introduction to Data Visualization with ggplot2
    DataCamp
    Sep, 2022
    - Nov, 2024
  • Introduction to Importing Data in R
    DataCamp
    Sep, 2022
    - Nov, 2024
  • Introduction to R
    DataCamp
    Sep, 2022
    - Nov, 2024
  • Introduction to Statistics in R
    DataCamp
    Sep, 2022
    - Nov, 2024
  • Data Manipulation with pandas
    DataCamp
  • Joining Data with pandas
    DataCamp

Experience

    • United States
    • Non-profit Organizations
    • 1 - 100 Employee
    • Project Management Manager
      • Sep 2022 - Present

    • Data Analyst
      • Jul 2021 - Sep 2021

      • Profited over $10,000 by applying statistical models to trade 6000 tons of iron mine futures and spot goods. • Established models to anticipate the best timings for opening and closing positions by analyzing 15-month historical data. • Employed R to perform data analysis on large datasets and developed a knowledge graph of futures. • Profited over $10,000 by applying statistical models to trade 6000 tons of iron mine futures and spot goods. • Established models to anticipate the best timings for opening and closing positions by analyzing 15-month historical data. • Employed R to perform data analysis on large datasets and developed a knowledge graph of futures.

    • China
    • Higher Education
    • 1 - 100 Employee
    • Quantitative Investment Research Assistant
      • Jun 2019 - Aug 2019

      • Enhanced the predicted annual return rate to 40% by adjusting the transaction period from 90 days to 30 days. • Optimized CAPM’s forecasting accuracy by introducing a new parameter reflecting financial issues and price changes. • Enhanced the predicted annual return rate to 40% by adjusting the transaction period from 90 days to 30 days. • Optimized CAPM’s forecasting accuracy by introducing a new parameter reflecting financial issues and price changes.

Education

  • Columbia University in the City of New York
    Master of Science - MS, Computer and Information Sciences and Support Services
    2022 - 2023
  • University of California, Los Angeles
    Bachelor of Science - BS, Applied Mathematics
    2018 - 2022
  • Brown University
    Summer Pre-College Program, Mechatronics, Robotics, and Automation Engineering
    2016 - 2016

Community

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