Ruirui Chen
Summary
Self-motivated Data Analyst offering 2 years of leadership experience across various industries. Methodical with significant experience in data mining and statistical analysis. Excellent problem-solver with a history of automating processes and driving operational enhancements.
Overview
1
1
year of professional experience
Work History
Data Analyst
Wuhan Urban Drainage Development Co., Ltd.
Wuhan, China
09.2020 - 03.2022
- Responsible for the statistics and analysis of water quality and flow, as well as the data calculation and statistical analysis of external projects, Improved data analysis efficiency by 20% by optimizing data collection processes
- Participated in the projects for the water flow monitoring of phase three of Tangxun Lake and North Lake Sewage Treatment Plant
Education
Master of Science -
The University of Exeter, College of Science Exeter
03.2024
Bachelor of Science -
Wuhan University of Science and Technology, College of Science Wuhan
06.2020
Skills
- R: Proficient in R for statistical analysis and visualization, with extensive experience using ggplot2 and dplyr
- Python: Experienced in Python, developing machine learning models using scikit-learn and TensorFlow, and optimizing code for performance
- SQL: Expert in SQL for data warehousing, complex queries, and database optimization for high-performance applications
- ChatGPT: Proficient in using ChatGPT for efficient data analysis and information retrieval, with the ability to apply advanced natural language processing techniques to business analysis and strategy formulation
Leadership And Volunteer Experience
Key Member of Support Education Volunteer Team from Sept 2018 to Sept 2019,
- Tutored the homework of the local left-behind children
- Enhanced the academic performance of 10+ students through personalized tutoring sessions.
Dissertations
Evaluation of Implicit Bias Trends in Asian Americans from 2004-2022: A Time Series Analysis Considering the 2020 Pandemic Onset
- Led a detailed empirical study examining the trends in implicit and explicit biases towards Asian Americans from 2004 to 2022, using hierarchical modelling, random forest, and ARIMA time series analysis to process data from Harvard University's Project Implicit.
- Revealed a significant pandemic-induced shift in biases, with explicit attitudes experiencing more pronounced reversals, thereby ending a period of steady decline in discriminatory biases against Asian Americans.
- Analyzed over 500,000 participant responses to determine the impact of socio-political events on biases, identifying a concerning increase in anti-Asian sentiment post-2020.
- Developed a forecasting model that predicted future trends in societal attitudes towards Asian Americans.
Languages
Chinese (Mandarin)
Native/ Bilingual
English
Professional
Timeline
Data Analyst
Wuhan Urban Drainage Development Co., Ltd.
09.2020 - 03.2022
Master of Science -
The University of Exeter, College of Science Exeter
Bachelor of Science -
Wuhan University of Science and Technology, College of Science Wuhan
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