Abigail Abbey Werthmann
Al Prompt Engineer - Data & Quantitative Analytics @DataAnnotation
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WORK HISTORY
Al Prompt Engineer - Data & Quantitative Analytics @DataAnnotation
Designed specialized prompts for AI applications in Data Analytics, Data Science, and Statistics, improving the relevance and precision of model outputs- Reviewed and debugged AI-generated code, resolving errors and ensuring seamless performance- Built and refined supervised machine learning pipelines through structured data annotation, validation, and quality assurance
EDUCATION
Michigan State University
Bachelor of Science - BS, Statistics
Michigan State University
Bachelor of Science - BS, Minor in Data Science/Analytics
ABOUT ABIGAIL ABBEY WERTHMANN
I am a recent graduate of Michigan State University (Fall 2025) with a bachelor’s degree in Statistics and a minor in Data Science & Analytics. My background combines statistical theory with hands-on analytics, including data cleaning, modeling, hypothesis testing, and interpretation.Currently, I work as an AI Prompt Engineer at DataAnnotation, where I focus on evaluating, annotating, and analyzing data to support high-quality model development. I have experience with Python, R, SQL, Tableau, and Microsoft Office, and I’m actively building skills in cloud-based analytics and financial data analysisSkills: Data Analysis | Statistical Modeling | Data Visualization | Hypothesis Testing | Regression | Python | R | SQL | Problem-Solving | Critical Thinking | Collaboration | Cloud Analytics | Financial Analytics
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