Sharon Daminabo
@sharondaminabo
I analyze research and AI datasets to improve data quality, model evaluation, and quantitative insights.
United StatesWhat I'm looking for
At Handshake, I clean, validate, and transform large mathematics datasets for generative AI training, automate source cross-checking with JavaScript, and evaluate AI-generated solutions using TensorFlow-based workflows.
At UNC Pembroke, I analyze laser-polarization experiment data with Python, MATLAB, R, and exploratory analysis techniques. My statistical validation and reproducibility testing contributed to research findings accepted for conference presentation, while data-integrity checks improved consistency across experimental trials.
I've also used SQL, MATLAB, Tableau, and survey research to examine electric-vehicle adoption barriers and sustainability policy. I'm interested in entry-level data, analytics, and research roles centered on problem-solving and quantitative analysis.
Experience
Work history, roles, and key accomplishments
Cleaned and validated large math datasets using Python and Pandas to support generative AI training workflows. Automated cross-checking of exam problems with JavaScript and evaluated AI-generated solutions using TensorFlow-based testing.
Education
Degrees, certifications, and relevant coursework
University of North Carolina at Pembroke
Bachelor of Science, Applied Physics
Grade: 3.7 GPA
Graduated with a Bachelor of Science in Applied Physics with a 3.7 GPA, focusing on data analytics, AI research, and computational analysis.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
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