作为核心成员，为某互联网金融服务公司提供经营尽职调查，项目前期进行了10+场客户会议，通过审阅信息系统组织架构和人员情况、评估现有信息系统以发现信息系统运营和技术对交易的潜在影响，并出具报告；深入了解投资人需求，并基于投资人的需求更深一步研究，对目标公司的客户资源、人员流动、未来规划及预算、技术壁垒以及专利所属权，进行了全面梳理，形成交付报告并向投资人汇报，加强金融投资人在中国海运行业的投资洞察力，间接推动了行业发展

参与某全球著名运动品牌数字化转型项目，深挖业务痛点，结合行业领先实践参与制定解决方案，主要负责系统实施测试统筹工作，每日与部门主管进行例会沟通，了解测试问题解决情况，保证项目顺利推进；梳理面向新增测试阶段的场景共46个，负责与大中华区客户团队负责人以及各部门负责人沟通需求，并且按照业务场景进行系统测试，准备上线相关材料，完成系统部署

Participated in the IPO project of an internet company, analyzed and visualized key business indicators such as the amount of WeChat payment, the volume of advertisement placements and store revenue by using Excel and Tableau for verification of the information system.Learned the organization, position functions and related regulations quickly in an asset management company to design an information system for the investment bank client by researching the business process of asset management companies like Morgan Stanley Huaxin Securities Company Limited, Nomura and Shenwan Hongyuan Securities.

Understood the players in hemodialysis industry in China through industry research reports and estimated the Chinese market size according to the historical data of the United states and Japan, including disease incidence and diagnosis rates.Analyzed reimbursement cap of medical insurance in six major cities, leading to prediction of the medical insurance pattern and charge in hemodialysis in the short future.Dialed interview calls to get key selecting criteria of hemodialysis sites from patients in order to analyze differences between public and private hospitals.Provided strategy planning including building own hemodialysis service center, acquiring a local hospital and corporating with public hospitals by comparing pros, cons and regulation barriers among business modes.

Initiated 5 consumer interviews to identify user requirements at the early stage of the project and organized weekly meetings to align project focus, leading to project deliverable fully recognized by the client.Proposed a consumer experience optimization plan by conducting 30,000 requirement data analysis and identifying ‘quick win’ improvements, resulting in successful submission rate increased from 53% to 93%.

Drafted a 50-page English product launch report including market dynamic analysis, competition landscape and future growth opportunity; built up a comprehensive business model to forecast addressable market size in 5 years.Led a product development team of 10 (include part-time) to conduct Agile testing by understanding user needs from 10 focus groups and thus updating software iterations, resulting in over 90% user satisfaction rate.

Developed a 1,000-line Python code algorithm to detect exceptions occurred in the urban road network- key decision factors included departure time, location, period of traffic flow and the flow’s local changing trend.Proposed transport model successfully transforming into real-world application, contributing to 50% time reduction in ambulance arrival and 12% time reduction in traffic congestion during peak off hours.