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<title>李倩倩 - 市场调研与统计分析实习简历</title>
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<img src="9D1E8F9252AA28728982FBA44ED391FC.jpg" alt="李倩倩照片" class="avatar">
<h1>李倩倩</h1>
<p class="job-title">市场调研 / 统计分析实习</p>
<h2 class="section-title">联系方式</h2>
<div class="left-indent-content contact-info">
<p><svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="#FFFFFF" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M22 16.92v3a2 2 0 0 1-2.18 2 19.79 19.79 0 0 1-8.63-3.07 19.5 19.5 0 0 1-6-6 19.79 19.79 0 0 1-3.07-8.67A2 2 0 0 1 4.11 2h3a2 2 0 0 1 2 1.72 12.84 12.84 0 0 0 .7 2.81 2 2 0 0 1-.45 2.11L8.09 9.91a16 16 0 0 0 6 6l1.27-1.27a2 2 0 0 1 2.11-.45 12.84 12.84 0 0 0 2.81.7A2 2 0 0 1 22 16.92z"></path></svg>15308620679</p>
<p><svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="#FFFFFF" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M4 4h16c1.1 0 2 .9 2 2v12c0 1.1-.9 2-2 2H4c-1.1 0-2-.9-2-2V6c0-1.1.9-2 2-2z"></path><polyline points="22,6 12,13 2,6"></polyline></svg>3529795570@qq.com</p>
<p><svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="#FFFFFF" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M21 15a4 4 0 0 1-4 4H7l-4 4V7a4 4 0 0 1 4-4h10a4 4 0 0 1 4 4z"></path></svg>微信：J15308620679</p>
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<h2 class="section-title">基本信息</h2>
<div class="left-indent-content edu-block">
<p style="color: #aaa;">性别：女</p>
<p style="color: #aaa;">年级：大二</p>
<p style="color: #aaa;">意向：市场调研 / 用户研究 / 统计分析助理</p>
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<h2 class="section-title">教育背景</h2>
<div class="left-indent-content edu-block">
<p style="color: #fff;"><strong>中国石油大学（北京）</strong></p>
<p style="color: #aaa;">统计学 (本科)</p>
<p style="color: #aaa;">2024.09 - 2028.06</p>
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<h2 class="section-title">技能与证书</h2>
<div class="left-indent-content">
<ul class="skills-list">
<li><strong>统计与调研</strong>问卷设计、数据清洗、描述统计、信效度检验</li>
<li><strong>数据工具</strong>R（主攻）、SPSS 26.0、Excel、PowerPoint、Python 基础</li>
<li><strong>语言证书</strong>CET-6 509；CET-4 483；全国计算机二级 Python（良好）</li>
<li><strong>表达协作</strong>中文调研报告、英文 PPT、图表解读、结论汇报</li>
<li><strong>岗位匹配</strong>市场调研、用户研究、统计分析助理、调研报告支持</li>
</ul>
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<h2 class="section-title">关于我</h2>
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<p>中国石油大学（北京）统计学专业本科大二学生，求职方向为市场调研、用户研究、统计分析助理。课程覆盖概率论、数理统计、抽样技术、数学建模与多元统计分析；已有问卷调研、SPSS 信效度检验、图表解读、中文调研报告与英文 PPT 展示经历，正在以 R 语言为主线补充统计分析实践。</p>
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<h2 class="section-title">项目与实践经历</h2>
<!-- 项目 1 -->
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<div class="project-header">
<span>全国范围家电“国补”信息搜集与消费端反馈调研</span>
<i>2026.01 - 2026.03</i>
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<ul class="project-list">
<li>
<span class="biz-text">围绕家电以旧换新补贴政策开展消费者调研，参与线上预调查与线下正式调查数据整理，共获得线上有效问卷 192 份、线下完整样本 508 份。</span>
<span class="tech-text">>> 问卷调查、样本筛选、缺失处理、指标口径整理</span>
</li>
<li>
<span class="biz-text">使用 SPSS 26.0 进行信度与效度检验，Cronbach's Alpha 为 0.830，KMO 值为 0.787，验证问卷数据具有较好可靠性。</span>
<span class="tech-text">>> SPSS 26.0、信度检验、KMO 检验、描述统计</span>
</li>
<li>
<span class="biz-text">通过加权比例、累加积分和词频统计形成结论：新增消费占比 21.88%，平均能效提升约 1.5 级，并识别“抢资格”机制与政策认知不足等落地问题。</span>
<span class="tech-text">>> 加权比例法、累加积分法、词频统计、政策效果评估</span>
</li>
</ul>
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<!-- 项目 2 -->
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<span>大学生手机使用行为调查与英文展示</span>
<i>课程项目</i>
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<ul class="project-list">
<li>
<span class="biz-text">小组围绕大学生手机使用时长、依赖心理、课堂场景等设计 25 题问卷，整理 109 份有效样本并完成英文 PPT 汇报。</span>
<span class="tech-text">>> Questionnaire Survey, Descriptive Statistics, English Presentation</span>
</li>
<li>
<span class="biz-text">负责二手平台交易、主动远离手机场景、课堂手机收纳袋态度等题项分析，整理出 89.91% 未使用二手平台、18.35% 从不主动远离手机、手机收纳袋支持率 19.25% 等结论。</span>
<span class="tech-text">>> 频数统计、比例分析、图表说明、英文陈述</span>
</li>
</ul>
</div>
<!-- 经历 3 -->
<div class="project-block">
<div class="project-header">
<span>竞赛与课程实践</span>
<i>2025 - 2026</i>
</div>
<ul class="project-list">
<li>
<span class="biz-text">数学建模课程成绩 85，课程中接触 MATLAB 建模与论文式报告写作；参加数维杯数学建模竞赛、美赛、正大杯市场调查与分析大赛。</span>
<span class="tech-text">>> Mathematical Modeling, MATLAB, Research Report</span>
</li>
<li>
<span class="biz-text">多元统计分析课程中接触数据清洗、描述统计、相关分析、回归分析、假设检验、聚类分析、主成分分析等方法。</span>
<span class="tech-text">>> Multivariate Statistics, PCA, Clustering, Regression</span>
</li>
<li>
<span class="biz-text">相关课程覆盖概率论、数理统计、抽样技术、多元统计分析、统计软件、数学分析、高等代数与 Python。</span>
<span class="tech-text">>> Statistics, Sampling, R Learning, Python Basics</span>
</li>
</ul>
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