University of Washington
Study Abroad Year, Arts and Sciences
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I am a detail-oriented data professional with a strong background in data analysis, machine learning, and evidence synthesis, gained through both academic projects and industry internships. I have hands-on experience working with large and complex datasets, developing reproducible workflows, and following structured guidelines to ensure data quality and accuracy. My skills include Python, R, data visualization, spatial and regression analysis, and I am comfortable using tools such as ArcGIS Pro, QGIS, and GitHub. I have developed and documented data processing tools, applied NLP techniques to unstructured policy text, and built dashboards and machine learning models for real-world applications. I thrive when working independently on tasks that require careful attention to detail and clear written communication, and I am adept at synthesizing information to support AI training data and annotation projects.
Kate H. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Study Abroad Year, Arts and Sciences
A Levels, Extended Project Qualification, and GCSEs, Varied academic subjects including Geography, Chemistry, and Biology
Data Science Intern
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