The University of North Carolina at Chapel Hill
Bachelor's in Science, Neuroscience
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I have hands-on experience in data-focused roles across both biomedical research and AI-driven projects, with a strong foundation in accuracy, analysis, and structured data handling. As a Lab Assistant at Genomic Predictions, I conducted DNA extraction, PCR, and gel electrophoresis while maintaining strict quality control and detailed documentation standards. In my role as a Telemedicine Research and Development Intern at IPMD, Inc., I analyzed medical and hormonal test data to identify patterns, supported algorithm development, and contributed to integrating AI tools into user-facing health feedback systems. These experiences strengthened my ability to work with complex datasets while maintaining precision and consistency. I also bring strong technical and analytical skills, including proficiency in Python and coursework in AP Statistics, which support my ability to understand data structures and contribute to model training and evaluation tasks. My background in healthcare-related research, combined with experience documenting and validating results in regulated environments, has trained me to follow guidelines carefully and produce high-quality labeled data. I am especially comfortable with tasks requiring attention to detail, pattern recognition, and iterative improvement based on feedback—key skills for AI training data and data labeling work.
Bachelor's in Science, Neuroscience
High School Diploma, Pre-Med
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