As a sophomore, I have acquired proficiency in managing extensive datasets, employing Python's pandas and scikit-learn libraries for data processing and analysis. My academic journey includes enrollment in STAT410, earning an A+ in a UIUC data science course, and achieving an A grade in STAT400.
I possess strong computer programming skills, completing CS124 and CS128 courses, with ongoing studies in CS173. Alongside my technical skills, I excel in effective communication in both English and Chinese, adeptly addressing diverse communication challenges.
In summary, my academic accomplishments, technical aptitude, and bilingual proficiency reflect my commitment to professional growth and readiness to contribute to data-centric projects and collaborative teams.
Helped Bank of China's Corporate Finance Department with financial audits and corporate asset analysis.
Completed Q2 2023 financial statement analysis for 4 large Chinese companies.
Helped the government to match private enterprises with loans and credit for private enterprises.
Helped Bank of China to convene meetings to organize government-bank-enterprise matchmaking and exchange conference.
Using python programming skills and worked with professional data scientists to handle the COVID-19 donations data. I collect and classified more than 10 millions RMB donation data from Red Cross Society of China. We not only visualize flow of donations, but also make the donation flow transparent to the society.
Python programming
Data visualization and analysis
Basic machine learning using sklearn and pandas
Java programming
R programming
C programming
English communication and Mandarin communication
Basic Excel formulas