Undergraduate Data Collection & Annotation (STEM)
As an undergraduate researcher, I collected and analyzed scientific datasets relevant to AI data workflows. My work focused on ensuring accuracy, structure, and reproducibility of textual and numeric scientific data. I applied systematic logical reasoning directly to annotation and validation activities within the STEM domain. • Evaluated, synthesized, and annotated multi-source structured data • Developed data quality validation skills applicable to labeling • Produced written reports from collected and curated datasets • Utilized STEM knowledge for interpretation and guideline application