• Provided research support on deal structuring for a $30M investment opportunity in the energy sector
• Drafted 3 research reports and investment memos for early stage investment opportunities in the Asia Pacific region
• Conducted due diligence on new policies, regulations and circulars mandated by the China Securities Regulatory Commission
• Complied data on merger and acquisition approvals, edited manuscripts and ensured accuracy of relevant contracts
• Reviewed and benchmarked key performance indicators for companies in the Pharmaceutical and Manufacturing sectors

• Provided clients recommendations on investing in private funds and hedging strategies in foreign currency
• Applied cash flow analysis, sensitivity analysis and built profitability models to forecast the growth of the company
• Analyzed more than 15 industry reports in order to give accurate evaluations to Senior Managers
• Worked with business development teams to to increase awareness, client base and identify new investment opportunities
• Conducted in-depth market studies of capital markets and forecasted growth over a 5-year to 10-year period
• Strengthened knowledge on investment vehicles such as foreign exchange, equities and derivatives

• Applied statistical analysis to forecast the total sales of different product SKU’s for a particular store on Black Friday
• Inputted sales data from online resources into R and built a linear regression (AIC, BIC, MSE) distribution forecasting model
• Used histograms, density curves, Cullen and Frey graphs to fit the distribution of different variables in the data set
• Applied Cooks Distance plot to exclude outliers and used the Variance Inflation Factor eliminate multicollinearity

• Collected 68 years of public data and applied statistical analysis to forecast the US GDP growth
• Used Partial ACF to check which Autoregression model to use to perform the analysis
• Predicted results by running linear regression model on refined data set

• Applied ETL (Extract, Transform and Load) pipeline to clean and rearrange millions of user data for further analysis via R
• Applied industry best practices such as conducting regular code reviews with/for teammates, utilizing well-known libraries, designing new components and interfaces and leading them to completion
• Applied digital marketing techniques to improve online traffic which led to 100,000+ views for several articles on Weibo

M.S. in Applied Economics | GPA: 3.76/4.0

B.A. in Quantitative Economics | GPA: 3.5/4.0

Honors: Deans List (2016-2018), Provost Honors