👋About Me
I’m currently a graduate student at Cornell University majoring in Operation Research and Information Engineering
Research Interests:
- Data-Driven Decision Making in Finance
- Stochastic and Optimization for Supply Chain
- Deep Learning for Behavioral Innovation
Education:
Accounting and Data Science
🎓 Renmin University of China
🎓 Maine University at Presque Isle
Operational Research and Industry Engineering
🎓 Cornell University
–My research papers can be found here.
Since 2023,I’ve held a minority in Economy in Peking University.During 2022(my gap year),I enrolled and completed master program in ENEB and Universidad Isabel I,majoring in Big Data and Intelligence.In 2021 fall,I exchanged in City University of Hong Kong to participate and played the role as the school ambassador.
Courses
- Optimization and Stochastics
Optimization Modeling in Finance;Monte Carlo Simulation;Quantitative Methods of Financial Risk Mgmt - Computer Science:
Data Structure;OOP;Advanced Machine Learning with Python;Data Science & Algorithms - Mathematics:
Calculus;Linear Algebra;Statistics;Partial Differential Equatitons;Nemerial Analysis - Finance and Economy:
Financial Accounting;Managerial Accounting;Corporate Finance;Into & Intermed Micro & Macro;
Awards
In the past 4 years,I’ve been awarded nuerous honory titles which include:
- The Ivy-Star of IFAC(the International Federation of Accountants),CGMA(The Chartered Global Management Accountant Association)and AICPA(American Institute of Certified Public Accountants),
- The Dean’s List from UMPI which has also been widely published by the mainstream media
- The Merit Student from Renmin University of China and other Academic Prizes and Activity Prizes
External Internship
During my time as a Digital Investment Management Intern at KKR, I leveraged data analytics to identify customer personas and forecast product sales profitability with 90% accuracy. My internship at HSBC involved constructing trading strategies using EM Credit Default Swaps and developing a machine-learning-based Emerging Market Risk Indicator. At Efund, I refined portfolio optimization processes with Python, handling policy changes and market volatility, while at Aqumon, I improved trading efficiency by 20% through automation and helped design high-frequency trading strategies. These roles have honed my analytical and quantitative skills, enabling me to navigate complex financial environments and deliver impactful results.
– My other social activities can be found here.
Skills:
C++,Python,R, SQL,Git,MATLAB,Bloomberg,Wind,BigQuant,RiceQuant Terminal, STATA,SPSS,Tableau, My SQL, Web Development(Jekyll, Hugo,Hexo, WordPress,Vue), Figma
– My research projects can be found here.
Contact Information
Evelyn Du
503 Summerhill Lane, Apt. 7
Ithaca, NY 14850
Email: wd275@cornell.edu