Yuqing Yao
Project Management Manager at Columbia Women in Data & Technology- Claim this Profile
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Bio
Credentials
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Intermediate Python
DataCampDec, 2022- Nov, 2024 -
Introduction to Data Science in Python
DataCampDec, 2022- Nov, 2024 -
Case Study: Exploratory Data Analysis in R
DataCampSep, 2022- Nov, 2024 -
Data Manipulation with dplyr
DataCampSep, 2022- Nov, 2024 -
Introduction to Data Visualization with ggplot2
DataCampSep, 2022- Nov, 2024 -
Introduction to Importing Data in R
DataCampSep, 2022- Nov, 2024 -
Introduction to R
DataCampSep, 2022- Nov, 2024 -
Introduction to Statistics in R
DataCampSep, 2022- Nov, 2024 -
Data Manipulation with pandas
DataCamp -
Joining Data with pandas
DataCamp
Experience
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Columbia Women in Data & Technology
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United States
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Non-profit Organizations
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1 - 100 Employee
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Project Management Manager
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Sep 2022 - Present
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Tianjin Jin Lu Steel Industry Co., Ltd
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Tianjin, China
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Data Analyst
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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.
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Hebei University of Technology
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China
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Higher Education
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1 - 100 Employee
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Quantitative Investment Research Assistant
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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.
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Education
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Columbia University in the City of New York
Master of Science - MS, Computer and Information Sciences and Support Services -
University of California, Los Angeles
Bachelor of Science - BS, Applied Mathematics -
Brown University
Summer Pre-College Program, Mechatronics, Robotics, and Automation Engineering