Ziyin Geng

Ziyin Geng - Viola Geng.jpg

University of Pennsylvania, 2021 (Expected)

Major: Data Analytics & Social Policy, School of Social Policy & Practice (SP2)

Certificate: Organizational Leadership in Social Work, Wharton & SP2

Certificate: Advanced Scientific Computing, Penn Institute for Computational Science

Undergraduate: Tsinghua University, China, 2019

Major: English, Department of Foreign Languages and Literatures

Minor: Finance, People's Bank of China School of Finance

Language: Chinese Mandarin (native), English (proficient; GRE 335/340), French (6 years part-time study, conversational)

Computer Skills: C, Python; Bloomberg; MS Office (Excel, PowerPoint, Word); SPSS, Stata, R; SQL, Access

Email: zygeng@upenn.edu

Ziyin Geng, also known as Viola amongst her peers, is a first-year graduate student at the University of Pennsylvania and am now working on a Master of Science degree in Social Policy and Data Analytics from the School of Social Policy & Practice. She graduated from Tsinghua University in China in 2019 majoring in English and Finance. Given that the UN’s 2030 Agenda for Sustainable Development has set poverty eradication as an overarching goal, she feels obliged to make a greater impact on international sustainable development challenges especially for people struggling with poverty. She is fluent in Mandarin and English and has rich experience in studying and researching around the Asia-Pacific region, e.g. China (including Hong Kong, Macao, and Taiwan), Australia; Russia, The Korean Peninsula, Kazakhstan, Thailand, etc.) In 2016, she conducted field research on poverty relief in the Shangri-La region in China and submitted a resultant policy recommendation suggesting that “Cash Plus” social assistance programs be piloted by supplementing government subsidies with microcredit for the financially inaccessible. In another behavioral economics research on aspiration failure, she observed that direct financial support may foster laziness and therefore advised that participatory approaches be implemented to encourage the impoverished to break the cycle of poverty. With her finance and policy background, she also had the opportunity to engage in various analytical projects including one equity research internship that focused on the media and internet industry, as well as another market research of the green finance and circular economy industry at the World Economic Forum. At the same time, she is also excited about delivering data-driven solutions and deliverables that address world development challenges. In practical settings, she has thus combined her data analysis skills and business knowledge for both private and public sector organizations. At Accenture, she helped develop a quantitative coaching toolkit for a leading global automotive group to monitor its after-sales performance. In the public sector, she has initiated and participated in big-data research on the evaluation of local Chinese governments’ fiscal transparency as well as on China’s Artificial Intelligence policy, responsible for web scraping, data analysis, and visualization, reports writing, etc., in both cases.