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关于我
目前就读于纽约大学(NYU)管理与分析(Management & Analytics)硕士项目,研究方向偏向技术型数据分析与数据工程。
我的本科专业为音乐表演(古琴),在系统学习数据分析与编程之前,我长期接受的是艺术与演奏训练。这段跨学科背景让我在面对复杂问题时,既具备结构化分析能力,也保持对细节和整体逻辑的高度敏感。
在研究生阶段,我系统学习并实践了 Python、SQL、关系型数据库与数据处理流程,熟悉从数据采集、清洗、建模分析到可视化呈现的完整数据分析工作流。我曾参与多个数据分析与数据建模项目,包括广告与用户行为分析、用户分群与 RFM 用户价值模型构建、运营指标体系设计以及多源数据整合分析,能够将业务问题转化为可落地的数据分析方案。
我目前专注于数据分析与数据工程方向,希望未来从事以数据驱动业务决策、数据建模、数据平台建设,以及支持 AI 与智能应用的数据分析与数据工程相关岗位。
I am currently pursuing a Master's degree in Management & Analytics at New York University (NYU), with a focus on technical data analytics and data engineering.
My undergraduate major was Music Performance (Guqin). Before systematically studying data analytics and programming, I spent years training in art and performance. This interdisciplinary background enables me to approach complex problems with both structured analytical thinking and a keen sensitivity to details and overall logic.
During my graduate studies, I have systematically learned and practiced Python, SQL, relational databases, and data processing workflows, and I am familiar with the complete data analytics workflow from data collection, cleaning, modeling, to visualization. I have participated in multiple data analytics and modeling projects, including advertising and user behavior analysis, user segmentation and RFM value modeling, operational metrics system design, and multi-source data integration analysis, with the ability to translate business problems into actionable data analytics solutions.
I am currently focused on data analytics and data engineering, and I hope to pursue roles in data-driven business decision-making, data modeling, data platform development, and data analytics/engineering positions that support AI and intelligent applications.