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Freelancer Overview

My experience in AI training data is grounded in hands-on project execution. While leading the French Doctor of Healthcare Management program, I innovated the "open course + roadshow" model. This involved the systematic labeling, categorization, and analysis of prospective student data—including source channels, engagement behaviors, and inquiry content—to build an accurate enrollment prediction model. By implementing dynamic KPI tracking and data-driven strategy optimization, we achieved a 120% enrollment rate in the first year. My key strength lies in integrating cross-cultural project management with data insights, effectively translating complex business needs into actionable data labeling and AI training pipelines. 在人工智能训练数据领域，我拥有从实际项目中积累的宝贵经验。在法国医疗健康管理博士项目中，我主导设计了“公开课+路演”的创新模式。此过程涉及对潜在学员数据（如来源渠道、互动行为、咨询内容）的系统性标注、分类与分析，以构建精准的招生预测模型。通过建立动态KPI追踪与数据驱动的策略优化，项目首年即实现招生率120%的超预期目标。我的核心优势在于将跨文化项目管理经验与数据洞察相结合，善于将复杂的业务需求转化为可落地、可衡量的数据标注与AI训练流程。

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