{"username":"liuruitong","header":{"name":"刘瑞桐","tagline":"商业分析 · 数据运营 · 金融分析"},"personalInfo":{"email":"3077645868@qq.com","phone":"15208444550"},"experience":[{"company":"蔚来（用户商业服务部）","role":"数据运营实习生","startDate":"2025.06","endDate":"2025.08","bullets":["参与 UCS 部门核心业务流程梳理与优化，基于 SQL 提取多维业务数据，独立搭建 Power BI 可视化看板，实现业务数据实时监控。","主导乐道销售飞书多维表格数字化方案设计，完成从需求洞察到工具落地的全流程闭环。","基于 Python + SQL 设计并部署自动化数据流水线，打通飞书与内部系统，实现跨平台数据自动抽取、清洗、同步与整合，日均节省人工工时 1 小时。","参与销售绩效评估体系搭建，运用 R 语言构建多元回归模型，实现销售绩效自动化打分。","通过 K-Means 聚类完成销售人员精准分层，输出数据驱动的考核优化建议，支撑绩效体系迭代。","参与月度销量预测模型迭代优化，引入竞品动态、国家补贴等外部特征，调优 Transformer 时序预测模型，将预测误差 MAPE 降低 3%，提升销量预测精准度。"],"tags":["SQL","Python","Power BI","飞书多维表格","R","K-Means","Transformer","数据运营"]},{"company":"建信信托有限责任公司","role":"金融分析实习生","startDate":"2024.06","endDate":"2024.08","bullets":["参与 2 个亿级大型融资项目尽职调查，收集并分析股权结构、负债情况、涉诉记录等核心资料，为项目准入提供数据支撑与风险参考。","协助完成企业财务报表深度分析，运用 Excel 搭建偿债、盈利、现金流等核心财务指标体系，实现项目风险指标量化评估。","负责尽职调查报告、风险排查报告的数据校验与逻辑审核，保障风险结论严谨可追溯；跟进项目评审会并协助 PPT 制作。"],"tags":["尽职调查","财务建模","Excel","风险分析","融资项目"]},{"company":"中国农业银行（成都经开区支行）","role":"支行运营实习生","startDate":"2023.06","endDate":"2023.08","bullets":["引导客户从人工渠道转向自助渠道，提升电子渠道使用黏性。","参与信用卡、ETC 等金融产品一线营销，落地精准营销动作，助力支行基础业务销售额提升超 20%。"],"tags":["运营","客户服务","精准营销","银行零售"]}],"education":[{"school":"澳门科技大学","major":"商业分析学","degree":"学士","startDate":"2022.09","endDate":"2026.06"},{"school":"香港大学","major":"商业分析学","degree":"理学硕士（拟就读）","startDate":"2026.09","endDate":"2027.06"}],"projectsRecent":[],"projectsDetailed":[{"title":"基于脑电信号（EEG）的抑郁症自动分类系统","type":"本科课程项目","startDate":"2024","endDate":"2024","bullets":["提出并实现 CNN-XGBoost 混合诊断模型，采用一维 CNN 从原始脑电信号中提取深度特征，通过 XGBoost 完成分类，相较 SVM 等基线模型，预测准确率提升 47.6%。","主导多源特征融合设计，结合文献研究整合临床生物标志物、CNN 深度特征及交互特征，丰富信息维度，实现模型性能突破。"],"tags":["EEG","CNN","XGBoost","Python","机器学习"]},{"title":"巴拿马电力需求预测系统","type":"本科课程项目","startDate":"2024","endDate":"2024","bullets":["搭建 Winters'、ARIMA、LSTM 三类时序预测模型并开展系统性对比实验，对 ARIMA 模型开展详细残差诊断，深度挖掘电力需求数据的多层次季节性规律。","针对 LSTM 设计循环编码、滞后特征、滚动统计等多维特征集，最终实现 6% MAPE（平均绝对百分比误差）。"],"tags":["ARIMA","LSTM","时序预测","特征工程","Kaggle"]},{"title":"AI 虚拟陪伴用户持续使用意愿研究","type":"本科毕业设计","startDate":"2025","endDate":"2026","bullets":["聚焦 AI 虚拟陪伴赛道，拓展经典 ECM 模型，融入感知智能、感知拟人化等核心变量，构建用户持续使用意愿结构方程模型。","整合孤独感、隐私顾虑等心理社会约束变量，采用 K-Means 聚类分析完成用户精准分层，识别 5 类差异化用户画像。","基于研究结论，从产品设计、隐私信任机制、分层用户生命周期管理三大维度，输出可落地的商业实践建议。"],"tags":["结构方程模型","K-Means","用户研究","AI 产品","商业分析"]}],"skills":[{"name":"编程与建模","items":["Python","R","SQL","回归分析","聚类分析","XGBoost","ARIMA","Transformer 时序预测"]},{"name":"数据可视化","items":["Power BI","业务分析看板","数据分析报表"]},{"name":"办公与协作","items":["Microsoft Office","Excel 函数","数据透视表","飞书多维表格"]},{"name":"语言能力","items":["英语流利（托福 105 / GRE 328）","可胜任全英文学习与工作"]}],"contact":[{"label":"邮箱","url":"mailto:3077645868@qq.com"},{"label":"手机","url":"tel:15208444550"},{"label":"主页","url":"https://cv.ha7ch.com/liuruitong"}],"meta":{"updatedAt":"2026-06-11T13:51:16.205Z"}}