Yi Xu
Gainesville,FL
Summary
Data Analyst with a Master's Degree in Statistics and a strong healthcare focus. Proficient in Python, R, and SQL, with experience in data visualization (Power BI, tableau), and healthcare data management. Excellent technical writing skills, capable of independent work and effective teamwork. Committed to leveraging advanced analytics to drive healthcare innovation.
Overview
2
2
years of professional experience
Work History
Data Management Analyst II
University of Florida, College of Medicine
Gainesville, FL
08.2023 - Current
- Analyzed and reported on real-world data, including electronic health records and claims data contributing to significant research outcomes.
- Engaged in data summarization and visualization, particularly through developing Power BI dashboards, enhancing data accessibility and interpretability.
- Participated in analysis modeling and interpretation of results, demonstrating proficiency in data analysis and critical thinking.
- Collaborated within a multidisciplinary team, leveraging strong communication skills to effectively contribute to joint research objectives.
- Assimilated complex data sets to provide insightful, actionable findings, supporting the department’s strategic research initiatives.
Research Intern
AI POW LLC
Houston, TX
06.2023 - 08.2023
- Engaged in machine learning projects, applying advanced techniques to optimize algorithm performance and accuracy.
- Participated in structured professional training to deepen understanding of AI technologies, enhancing both theoretical knowledge and practical application.
- Contributed to innovative research under the mentorship of leading AI experts, gaining insights into cutting-edge developments in the field.
- Demonstrated effective remote collaboration and communication skills, successfully integrating into a dynamic, virtual work environment.
- Played a key role in project development, from conception to implementation, showcasing adaptability and problem-solving abilities.
Data Science Research Intern
Melax Technologies Inc.
Houston, TX
10.2022 - 12.2022
- Applied Python, R, and SQL to acquire, process, and interpret full-text literature data from over 300 sources, unveiling crucial relationships between biomedical entities
- Constructed and sustained 10 comprehensive knowledge graphs, enhancing data accessibility and visualization for the medical community
- Conducted in-depth data analysis across 15 disease categories, advancing understanding of immune system functions and driving the development of 5 innovative treatments and diagnostic tools
- Demonstrated strong project management capabilities, ensuring tasks were completed on schedule and objectives met
Research Intern
University Of Texas Health Science Center At Houston
Houston, TX
06.2022 - 08.2022
- Utilized SQL and microarray analysis to evaluate over 1,000 SMARCB1 low vs. SMARCB1 high samples, identifying 50+ key genes and pathways
- Employed EMR systems for data management and analysis, contributing to a broader understanding of structural changes in 90% of examined events
- Collaborated effectively within a multidisciplinary team, demonstrating excellent communication skills and establishing productive working relationships
Education
Master of Science - Statistics
Rice University
Houston, TX05.2023
Bachelor of Science - Applied Mathematics And Statistics
Stony Brook University
Long Island City, NY05.2021
Skills
- Languages: Python, R, SQL
- Tools: Microsoft Excel, Microsoft PowerPoint, Power BI, Git
- Techniques: Data Visualization, Time Series Analysis, Regression Models, Machine Learning, Knowledge Graphs, Database Design
- Experience with database design, reporting tools, and project management
- In-depth knowledge of healthcare information systems
Research
Quantitative Financial Risk Management Project | Time Series Momentum, Fall 2022
- Leveraged SQL and Python to perform an in-depth analysis of Time Series Momentum (TSMOM) over a 30-year period (1990-2020).
- Utilized Power BI to visualize data and compare the TSMOM strategy with a traditional 'buy-and-hold' approach, aiding in clear decision-making processes.
- Enhanced the TSMOM model by identifying periods of extreme stock market returns as significant contributors to the strategy's success.
- Validated the effectiveness of TSMOM by achieving a Sharpe ratio of 0.46, outperforming the 'buy-and-hold' strategy and aligning with established research findings.
Data Visualization Project | R for Data Science, Fall 2021
- Spearheaded the integration and manipulation of a vast New York crime dataset, leveraging SQL for efficient data extraction and processing.
- Developed interactive Power BI dashboards to clearly illustrate crime trends over different time periods, leading to the discovery of a 25% surge in crime rates during nighttime.
- Crafted a heat map to display crime density across various neighborhoods, successfully identifying the Bronx as the region with the most significant crime incidence.
Timeline
Data Management Analyst II
University of Florida, College of Medicine
08.2023 - Current
Research Intern
AI POW LLC
06.2023 - 08.2023
Data Science Research Intern
Melax Technologies Inc.
10.2022 - 12.2022
Research Intern
University Of Texas Health Science Center At Houston
06.2022 - 08.2022
Master of Science - Statistics
Rice University
Bachelor of Science - Applied Mathematics And Statistics
Stony Brook University
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