WEat is a platform and delivery services for Home Kitchen and Shared Kitchen, and transformes existing Home Kitchen and restaurant into Shared Kitchen.• Founded WEat with three partners; director of marketing department.• Developed centralized resources including cloud data tools and industry standards to improve team research efficiency; collected data with IBM Cloud Pak tool to understand the market share and potential corporation distribution• Joined CVE-UCI -Applied Innovation Startups in 2019 successfully Attended weekly boost camp, consulting meeting, and interacted with customers, investors, lecturers, local home kitchens and attracted 150+ customers

• Assisted M&A projects of listed companies, calculated the WACC (Weighted Average Cost of Capital) and enterprise by DCF (discounted cash flow) and Comparable Method. Collected over 100 pages of data and analyzed the projects with l methodologies such as financial ratios• Assisted in evaluating 3 real estate firms’ solvencies to issue mortgage bonds of real estate, collected 15 firms’ financial statement data by OCR (Optical Character Reader) and built models in Excel for comparation purpose

• Managed UCI AO official WeChat account- “UCI Anteater” and published original articles biweekly. Acted as a liaison with 200 perspective students by creating and managing official WeChat groups, introducing UCI, and answering questions for freshman• Built connections with 15 local high schools, international schools in China, and parent associations in China.• Organized events like recruitment and sendoffs for incoming students, and presented UCI life in local high schools and campus tour, translated information from English to Chinese • Organized activities as an office representative, hosted events with UCI Chinese student associations

• Collected number of rental data with Python to analyze the market in Orange County area• Analyzed data and activities of the competitors to compare with the benchmark, come up with sales strategies • Worked with clients to understand client needs and budget, analyzed database to make recommendations, promoted sales by 10% over 2 months• Presented 4 models to the team of 15 people, corporate with 10 local apartments in 2 weeks.