Qinglin Hu
Birmingham,AL
Summary
Results-driven Senior Data/Research Scientist with 7 years of experience in leading machine learning, statistical analysis, and data analytics initiatives. Expertise includes public health big data, national longitudinal datasets, and cross-disciplinary data integration. Recognized for publishing impactful research findings and collaborating on successful grant applications to drive decision-making processes. Aiming to leverage data-driven insights for innovative solutions in diverse sectors.
Overview
7
7
years of professional experience
Work History
Senior Data/Research Scientist
The University of Alabama
Tuscaloosa, AL
06.2022 - Current
- Designed and implemented ML models to analyze over 13 million Medicaid claims data, identifying trends and insights for public health interventions.
- Conducted statistical studies on opioid-related mortality across 17 states and spanning over 10+ years using nationwide longitudinal datasets, contributing to critical public health strategies.
- Developed predictive analytics models for transportation data, integrating cross-sector information for safety and efficiency improvements.
- Led financial and economic data analysis projects, providing strategic recommendations for stakeholders.
- Presented findings at national conferences, publishing in peer-reviewed journals.
- Collaborated on research grant proposals, securing funding for innovative data-driven projects.
Data Research Analyst
The University of Alabama
Tuscaloosa, AL
09.2017 - 06.2022
- Built and deployed advanced analytics workflows to support decision-making in public health and economic policy.
- Managed large-scale datasets, ensuring data integrity, security, and scalability for cross-sector analysis.
- Created interactive dashboards and visualizations to communicate complex findings to non-technical stakeholders.
- Provided mentorship to junior team members, fostering a culture of continuous learning.
Education
Master of Science - Applied Statistics
The University of Alabama
Tuscaloosa, AL05-2022
Ph.D. - Geography
The University of Connecticut
Storrs, CT07-2017
Skills
- Machine Learning and Predictive Modeling
- Advanced Statistical Analysis
- Big Data Analytics and Visualization
- Data Wrangling and ETL Processes
- Research Grant Writing and Collaboration
- Cross-disciplinary data integration
- Programming languages: Python, R, SQL
- Tools: SAS, Tableau, Power BI, Microsoft Azure AI
Languages
English
Full Professional
Chinese (Mandarin)
Native/ Bilingual
References
References available upon request.
Timeline
Senior Data/Research Scientist
The University of Alabama
06.2022 - Current
Data Research Analyst
The University of Alabama
09.2017 - 06.2022
Master of Science - Applied Statistics
The University of Alabama
Ph.D. - Geography
The University of Connecticut
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