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统计学本科生，Data Science硕士生，在统计分析和建模方面有很强的基础，精通数据清理、探索性分析和模型解释。熟练掌握机器学习技术，包括有监督和无监督方法，如回归，分类和聚类，具有模型评估和优化方面的专业知识。具有丰富的文本分析经验，包括文本预处理、特征表示、主题建模和文本聚类。熟练使用Python进行数据分析和建模，熟悉使用Git/GitHub进行版本控制，熟练使用Excel进行业务应用。熟悉AWS云计算，对数据管道设计和分布式任务处理有基本的了解。雅思成绩7.5分，具有较强的英语写作和沟通能力。

具备扎实的 C/C++ 与 Python 编程能力，专注于嵌入式开发与数据分析方向。拥有完整的微控制器（MCU）及基于 DSP 系统的全生命周期开发经验，能够按期高质量交付复杂项目。熟练运用 Python 进行数据挖掘与建模分析，包括 RFM 用户价值分析与漏斗分析。擅长将业务逻辑与技术实现相结合，能够将复杂需求转化为可落地的解决方案。曾荣获全国大学生电子设计竞赛一等奖，具备突出的竞赛领导力与技术实力。精通中英文，能够在多元文化环境中高效沟通与协作。
具备出色的问题解决能力与创新思维，熟练掌握 C++ 与 Python，拥有良好的团队协作与沟通能力。致力于交付高质量的嵌入式解决方案，持续提升系统性能与稳定性。

我是悉尼大学建筑设计专业的本科生，具备扎实的分析思维、复杂系统建模与创造性解决问题能力，这些能力在高强度、注重细节的投行环境中同样适用。我的学习背景让我善于拆解复杂的空间与系统结构，并在高压下高效推进项目节点，擅长将抽象概念通过视觉与文本方式清晰表达。我希望将自己的逻辑思维与结构化能力应用于金融分析、交易执行及战略咨询等工作中。通过自学与跨领域项目实践，我逐步掌握了金融相关的核心知识，包括并购逻辑、不动产投资信托结构（REITs）及Excel建模等，目前正在深入学习会计、经济与估值相关内容，以实现建筑思维与金融逻辑之间的高效转化。我希望在投行行业中，发挥我独特的背景优势，从设计精准、用户导向的角度出发，为客户创造更多价值，并持续学习与成长。

具备扎实的统计建模和数据处理技能，精通Python、R、SQL等工具。拥有跨行业的商业分析和项目管理经验，擅长将数据洞察转化为实际的业务策略。未来希望在数据驱动的环境中继续成长，通过创新的解决方案推动组织决策和增长。

吕昕哲

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经济学习辅导

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学士 - 经济学

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经济学习辅导

学士 - 经济学

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