Newcastle University
MSc, Accounting, Finance, and Strategic Investment
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I have hands-on experience working with structured data labeling, taxonomy development, and quality control through my work managing large-scale eCommerce and advertising datasets. I regularly classify and label data across thousands of entities (e.g., products, keywords, search terms, and campaign types), applying consistent rules to ensure accuracy and usability. This includes building and refining categorisation frameworks, identifying edge cases, and ensuring consistency across datasets. I also perform ongoing QA by auditing outputs, correcting inconsistencies, and improving labeling logic to enhance data quality. In addition I bring strong attention to detail, pattern recognition, and the ability to interpret ambiguous inputs. I have experience creating rule-based systems (e.g., text classification, string matching, and data extraction in Excel) that mirror annotation guidelines, and I’m comfortable working at scale while maintaining precision. My background in data analysis and optimisation means I naturally focus on accuracy, consistency, and continuous improvement, which allows me to contribute effectively to AI training pipelines that depend on reliable, well-structured data.
Alexandra G. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
MSc, Accounting, Finance, and Strategic Investment
BSc, Marketing and Management
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