工作背景:该公司是一家提供区块链风险管理解决方案的公司，通过提供一站式风控平台帮助用户解决交易全链路风控问题。业务整合: 参与公司产品业务体系发展规划，负责公司一站式风控平台的规划和设计，明确各产品板块的定位和目标;根据业务发展从短期和长期视角规划产品迭代。产品规划: 主导竞品调研，分析竞对产品优劣势，对产品全生命周期端到端负责，从构思、设计、开发、测试、上线全流程跟进，并梳理用户使用、充值、消费等后台管理功能完成产品商业化。方案落地: 从0-1搭建一站式风控平台，综合考虑ToC和ToB的用户需求，跟进从身份验证到风险查询再到风险监控全流程方案的落地，并保证产品高质量交付。项目管理: 追踪并管理产品全流程进度、协调跨部门沟通，与研发、运营、算法、分析团队密切配合，共同推动项目目标的达成。工作业绩: 负责公司从 0 到 1 全产品线搭建，熟悉一站式风控产品(KYA/KYT/KYC)逻辑和底层数据联系，完整跟进产品从MVP 到商业化全过程。

工作背景: 任职期间先后承担抖音、西瓜视频激励业务的用户增长数据分析工作，分析方向包括但不限于增长转化，用户行为， 策略效果等，科学衡量业务指标的同时给出增长建议。专项分析: 根据业务发展，辅助业务通过专项分析找到策略优化方式，包括但不限于抖音激励项目阶段性整体复盘，西瓜视频激励项目新老用户上线报告，西瓜导量提次留专项等。日常分析: 负责各类AB实验设计与分析，策略优化效果评估，关键链路拆解，核心指标异动归因，提供优化建议，与产品、算法、分析、开发团队配合推进策略迭代。指标体系: 深入理解业务逻辑及需求，独立搭建能够准确反应业务健康状况的数据指标体系，并落地为可视化看板，支持日常监控，问题定位，归因分析的需求。基础建设: 跟进业务细节，结合业务需求设计埋点体系;分析各项影响策略提升与增长的因素，补充 AB 实验指标组，优化mROI 计算方法，不断强化项目组数据基建的同时科学准确评估策略实际增长，提升决策效率和科学性。沉淀提效: 沉淀 AB 实验全流程分析模板和实验指标多维拆解工具使用文档，提高实验分析效率;总结高频可复用代码并不断渗透业务同学看板/工具使用能力，提高分析师人效。工作业绩: 通过留存，收入，成本相关数据表现辅助策略不断提升 mROI，产出核心报告支持激励项目扩量，搭建系统数据看板帮助业务查看并监控项目核心数据，主导专项分析输出核心指标提升方案。

工作背景：该公司长期致力于为政府、企业类客户提供完善的云安全解决方案，本人在电信反诈项目中主要负责数据分析，并用分析结果实现产品策略。数据分析：协助完成大数据项目的数据标注、整理、检查和完善，使用SQL、EXCEL独立负责相关数据的处理、分析并产出数据分析报告，以指导产品策略。数据标签：独立负责用户标签体系的建立，并根据该体系使用Hive对海量数据进行标签化操作。

• Administrated the commercial posts, participated in the complete launch process, proactively explore more promotion accounts,reduced advertising costs through negotiation capabilities.• Analyzed official accounts from four dimensions: basic information, cost-effectiveness, followers background, and historical data,successfully decreased cost per customer by 55%.• Controlled the launch process, followed up in time, adjusted strategy quickly, guaranteed ROI and successfully complete tasks.• Reviewed advertising data and optimized strategy regularly, controlled real cost per click 30% below expected cost per click.• Designed, launched, and optimized advertisements on Instagram, SEM, YouTube, Bilibili, and other advertising channels.

• Compared promotion channels and curriculums with similar online education platforms to enhance brand awareness, discovered tips of SEO (Search Engine Optimization), provided suggestions and used Google Analytics to track optimize performance.• Extracted and formatted data from websites using Python, preprocessed the email marketing data using SQL, analyzed important metrics performance and generated plots.• Discovered customer media habits and understood customer’s favorite topics by extracting and analyzing data from different media.

• Analyzed the conversation rate of commercial tweets and other activities collaborated with Student Associations of all universities in the United States to decide cooperation relationship and sponsorship fee.• Integrated, cleaned promotional data and sponsorship fee data using Excel to analyze advertising performance and prepare reliable, high-quality data sources for future data mining.• Wrote commercial contracts using Word, discussed promotion plan with organizations and companies and promoted the company sell more than 1,500 vehicles and increase sales to 30 million in 2019. • Established and managed a well-regulated human resource information system to help the company select candidates efficiently and prepare sufficient talent reserve for another newly-established tech company.

• Analyzed the barriers and benefits of using drones in the construction industry and collaborated with engineers and managers in the field to complete a survey to address the slight decline of fatality rate in the past decade.• Collected, organized and cleaned raw data from the survey from 362 construction professionals, covering 35 US states and 6 Canadian provinces to help deepen the analysis on the topic.• Accomplished a numerical Excel report to support the supervisor to complete the final report every two days.• Interpreted the result that the industry professionals are optimistic about using UAVs for safety inspection, but is still early for the whole industry due to some concerns, such as high training fee and distraction workers.