University of Washington
Non-Degree Study Abroad, Arts and Sciences
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I am a detail-oriented data professional with a strong background in analyzing, synthesizing, and documenting complex datasets, including large-scale human movement and policy text data. My experience includes developing reproducible workflows, evaluating data quality, and applying machine learning techniques such as unsupervised learning and random forests to extract meaningful insights. I have hands-on skills in Python, R, and GIS tools, and have used NLP methods to process unstructured text for policy analysis. I excel at following structured guidelines, ensuring data accuracy, and clearly communicating results, making me well-suited for data labeling, annotation, and AI training data roles. My work spans domains such as transportation, environmental policy, and spatial analysis, and I am comfortable working independently to deliver high-quality, reliable outputs.
Kate H. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Non-Degree Study Abroad, Arts and Sciences
General Certificate of Education Advanced Level and General Certificate of Secondary Education, General Secondary Education
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