Michelle Messer
Data Science Intern @ Predicate
About
Currently pursuing a Master’s degree in Data Science at the University of North Carolina Wilmington and interning as a Data Science/AI Intern at Predicate AI. Gaining hands-on experience applying AI and data science in a healthcare technology environment, learning workflows, collaborating with the team, and building practical skills in data analysis, machine learning, and applied AI. Research experience includes designing experimental protocols, conducting data analysis using Python, SPSS, SAS, and SQL, and presenting findings at academic forums like the Association for Psychological Science conference. Passionate about leveraging data science to address complex problems at the intersection of psychology, technology, and healthcare.
United States
Wilmington
Research
Machine Learning, Statistical Data Analysis, Statistical Modeling, SQL, Python (Programming Language), SAS (Programming Language), Data Entry, Typing, Problem Solving, Confidentiality, Attention to Detail, Customer Experience, Computer Literacy, Teamwork, Psychological Research, Poster Design, Quantitative Models, Fatigue Testing, Public Speaking, Psychology Education
Experience
Data Science Intern
Predicate
Wilmington, North Carolina, United States
• Participating in an internship focused on applied AI and data science in a healthcare technology startup environment. • Contributing to projects that leverage data-driven approaches for real-world problem solving in health and AI. • Engaging in onboarding, learning the company’s tech stack and workflows, and collaborating with the team to develop professional skills in data analysis, machine learning, and AI. • Gaining experience in working with data pipelines, modeling techniques, and AI-driven problem solving in a clinical context.
Graduate Assistant
UNCW Graduate School
Wilmington, North Carolina, United States
Researcher
University of North Carolina Wilmington
Title: The Impact of Physical Fatigue on the Gait Metrics of Speed, Power, Balance, and Symmetry as Measured by SportGait BioKinetoGraph (BKG) ● Conducted literature reviews to support research objectives, enhancing scientific writing and critical analysis. ● Designed and implemented experimental protocols to assess fatigue’s impact on gait metrics. ● Performed quantitative and qualitative data analysis using SPSS, Excel, and Jamovi. ● Presented findings at the Association for Psychological Science (APS) conference, fostering skills in academic communication and networking.
Research Assistant
University of North Carolina Wilmington
Lab of Dr. Len Lecci ● Assisted in data collection and management while maintaining rigorous protocols to ensure accuracy and reliability. ● Contributed to team discussions, proposing innovative approaches to emerging trends in psychology research. ● Organized research schedules, facilitated smooth operations, and collaborated with team members to meet project milestones.
Education
University of North Carolina Wilmington
Data Science
University of North Carolina Wilmington
PSYCHOLOGY
Michelle Messer's Contact Information
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