Xuan Jiang
@xuanjiang
Graduate Research Assistant specializing in data analysis and public health.
What I'm looking for
I am a detail-oriented data analyst with a strong academic background in biostatistics and applied mathematics. Currently pursuing a Master of Science in Biostatistics at Brown University, I have consistently achieved academic excellence, recognized on the Dean's List.
Professionally, I have contributed to significant projects in public health and data science, enhancing predictive models and streamlining data processes. My expertise includes Python, R, SQL, and data visualization tools like Tableau and Power BI.
I thrive in collaborative environments, leading projects that deliver actionable insights and drive informed decision-making. My passion lies in leveraging data to solve real-world problems, particularly in public health and finance.
Experience
Work history, roles, and key accomplishments
Graduate Research Assistant
Rhode Island Department of Health and Education, Brown Unive
Sep 2023 - Present (1 year 10 months)
Collaborated with the CDC to design an alert platform linking school absenteeism data to Emergency Room visits. Processed and analyzed over 350K absenteeism records and developed interactive dashboards with R Shiny for public health insights.
Data Scientist Intern
Chinese Academy of Sciences, Institute of Atmospheric Physic
May 2024 - Jul 2024 (2 months)
Conducted literature research and analyzed over 150,000 meteorological records to predict high-altitude wind speed. Built and fine-tuned machine learning models in Python, achieving 89% prediction accuracy.
Part-time Data Analyst
Wuxi AppTech, HD Biosciences Co., Ltd
Jun 2022 - Sep 2023 (1 year 3 months)
Evaluated over 1,200 immunoassay results using Excel and Python. Automated workflows to reduce experiment time by 50% and developed dynamic reporting templates for research teams.
Group Research Leader
EigenWealth Project
Sep 2022 - Oct 2022 (1 month)
Processed stock price data for over 1,000 companies and utilized SVD for portfolio optimization. Achieved a 15% improvement in diversification while maintaining returns.
Group Research Leader
Predictive Insights Project
Aug 2022 - Sep 2022 (1 month)
Led a group research project analyzing health insurance claims data. Conducted feature engineering and applied PCA to improve model interpretability, providing insights into policyholder behavior.
Education
Degrees, certifications, and relevant coursework
Brown University
Master of Science, Biostatistics
2024 - 2026
Grade: 4.0 / 4.0
Pursuing a Master of Science in Biostatistics with a focus on multilevel data analysis, statistical learning, and R programming. Recognized in Dean’s List for academic excellence.
University of California, San Diego
Bachelor of Science, Applied Mathematics & Biochemistry
2020 - 2024
Grade: 4.0 / 4.0
Completed a Bachelor of Science in Applied Mathematics and Biochemistry, achieving a GPA of 4.0. Recognized in Dean’s List for all semesters.
Availability
Location
Authorized to work in
Job categories
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