Université de Montréal
Certificate Program, Francophone Studies
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I am a bilingual researcher with strong experience in qualitative data analysis, evidence synthesis, and finding patterns in large, diverse datasets to inform actionable outcomes. My academic and professional background has equipped me with advanced skills in annotation, cross-cultural content analysis, and data-driven research, particularly in the domains of child protection, humanitarian policy, and multilingual text. I am proficient in tools such as Excel, SPSS, and NVivo, and I excel at translating complex information into clear, structured insights for both academic and advocacy purposes. My work in editing, content creation, and policy research has strengthened my attention to detail and my ability to manage sensitive data, making me well-suited for data labeling and AI training data roles, especially in projects involving multilingual or culturally nuanced content.
Olivi G. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Certificate Program, Francophone Studies
Bachelor of Arts, Comparative Literature (Anglophone Studies)
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