about me
Ziyuan Zhang
I am currently a second-year graduate student jointly trained by Questrom School of Business at Boston University and the School of Statistics and Management at Shanghai University of Finance and Economics , majoring in Mathematical Finance and Financial Technology. I am very fortunate to study under the guidance of Professor Yixuan Qiu. Currently, I am pursuing my studies in Boston. I enjoy a variety of entertainment activities and am recently trying to learn yoga and tennis. I welcome friends to contact me for study and life exchanges. Here is my English homepage, welcome to visit my Chinese homepage to learn more ❤
Education
Boston University | Mathematical Finance & Financial Technology | Master Degree2023.09-2025.01
Major courses: Programming (Python, C++), Stochastic Calculus, Fund of Finance,Corporate Risk Management.
Shanghai University of Finance and Economics | Mathematical finance and Fintech | Master Degree2022.09-2025.07
Major courses: Financial Stochastic Analysis, Financial Metrology, Statistical Theory and Method, Data Analysis and statistical Modeling, optimization method and its application.
Shanghai University of Finance and Economics | Data science and Big Data Technology | Bachelor Degree2018.09-2022.07
Major courses: Deep Learning, Machine Learning, Text Mining Technology, Database, Distributed Computing, C Language, Probability Theory and Mathematical Statistics, Data Analysis and Visualization, Operations Research, Distributed Computing, Corporate Finance, Management Accounting, National Economic Accounting.
University of Pennsylvania | Summer Vacation Studies2019.06 - 2019.08
Mastered business English language at an intensive, immersive program.
Awards
Shenwan Hongyuan Scholarship2023.11
Graduate Academic Scholarship - First Prize2023.11
Title of Outstanding Student of the School of Statistics and Management, Shanghai University of Finance and Economics for the 2023-2024 Academic Year2023.10
Graduate Academic Scholarship - Second Prize2022.12
Third Prize of the National Postgraduate Industrial and Economic Finance Big Data Modeling and Computing Competition2022.11
Shanghai first Prize of National College Students Mathematical Contest in Modeling 2021.11
Shanjia Scholarship2020.06
Second Prize of the 12th Thousand Villages Survey Excellent Report2019.09
Experience
Rating prediction of domestic TV series based on sentiment analysis2022.02-2022.04
By crawler, 5,505 pieces of basic information of domestic TV plays in Douban were crawled. For the TV play "Beginning", which is highly discussed in the beginning of 2022, 160,000 pieces of short commentary information were crawled. After word segmentation, word stop processing and text vectoring, the sentiment polarity analysis of the commentary text was carried out by using naive Bayes, LSTM and SVM respectively. After comparison, SnowNLP was used to generate the emotional score of each comment, and the mean emotional score was calculated as the emotional score variable of this TV series. By analyzing the data set of short reviews of "Beginning", the average emotion score of 500 comments can represent the average emotion score of the whole movie and TV series, with a relative error of no more than 0.01. For the text information in the basic information of the original TV series, the classification variable is numerically calculated by calculating the average score of the TV series that participated in the category in the past. One hundred TV shows were randomly selected, and each TV show climbed the latest 500 comments and calculated the average emotional score. Multiple linear regression and regression tree were used to model the processed data sets. It is found that introducing emotion score and increasing the amount of data contained in the data set can significantly increase the goodness of fit of the model on the test set. Through model fitting, the factors that have a great influence on the quality of TV series are found. Compared with the model, it is found that for small sample data sets, regression tree has a better goodness of fit in the test set. Based on the model results and exploratory analysis, some suggestions are put forward for the production and development of Chinese TV dramas.
Shanghai Challenge Cup Business plan 2019.12-2021.05
Participated in and wrote the report "Research on the Current Situation of Media literacy and Financial Literacy of College Students and Cultivation Strategies under the background of" Campus Loan ". I was mainly responsible for crawler, data collection and data cleaning in the group. Through questionnaires and the crawling and analysis of KOL speeches on Weibo and B platform, the project proves that there is a strong positive correlation between media literacy and financial literacy of college students.
Employment
Huatai Securities (Shanghai) Asset Management Co., LTD | Structural Financing Department Intern2023.02-2023.05
1. Assisted in the completion of corporate bond and enterprise bond projects; 2. Deeply involved in undertaking all links, including but not limited to assisting in writing and sorting out project approval materials, due diligence materials, application materials, etc.; 3. Assist and participate in the preparation and review of project financing plan, issue proposal and other related materials, as well as materials declaration; 4. Assisted in project management for the duration of the project;
Continental Tires(China) | Retail Department Intern2022.03 - 2022.06
During my internship, I participated in the signing of horse sales contracts for various stores nationwide, evaluated store renovation companies, and analyzed the company's basic sales data, etc.
Xingtai Branch, People's Bank of China | Survey statistics section staff/2020.06 - 2020.08
During my tenure, I assisted in writing the second quarter economic situation analysis report of Xingtai City, investigating local financial organizations, and collecting basic data within the department.