Research Assistant
Dr. Daniel Hummel • University of Louisiana Monroe
- Conducted complete data processing and analysis of 5,000+ survey responses using Python Pandas for automated cleaning and transformation and IBM SPSS Statistics for detailed statistical analysis.
- Presented major research findings, statistical results, and practical implications at the SECoPA 2024 Annual Conference and the ULM Research Symposium 2024 to research and professional audiences.