Yiyang Zhang
Data Science and Machine Learning Analyst Specializing in Financial Processes
1 yrs experience · New York, NY · 30-40 hrs/week
About
Analyst with expertise in Data Science and Machine Learning, currently working at Bank of China USA in the Trade Finance Data Operations sector. Experienced in analyzing complex data sets and implementing machine learning algorithms to optimize financial processes. Skilled in statistical analysis, time series analysis, and portfolio optimization. Proficient in Python, Java, C, SQL, MATLAB, and Assembly language, with experience in frameworks and tools such as PyTorch, Scikit-Learn, Git, Google Cloud Platform, and Excel.
Skills
Experience
- Trade Finance Data Operations · Bank of China USA2024-09-01 – 2025-04-01
Aggregated and prepared daily transaction and trade finance data using Excel and SQL to support internal dashboards and compliance reporting, improving data availability and reducing reporting delays by 25%. Conducted ad hoc data analysis and reporting to support commodity trade finance and risk management teams, accelerating decision-making processes for high-priority transactions. Applied data analysis and data wrangling skills to clean and organize high-volume trade datasets, resulting in a more efficient data pipeline and fewer errors in compliance checks. Identified a gap in internal documentation processing and built an automated text-processing tool, reducing manual workload by 30%.
- Graduate Research Assistant · Airline Demand Analysis, UCSD2023-10-01 – 2024-04-01
Developed Python scripts to preprocess and align 10 years of demand and scheduling datasets from the European OAG database, improving data quality for analysis. Engineered features to derive daily and weekly demand metrics, increasing model accuracy by 15%. Conducted data wrangling and outlier detection in load factors, distinguishing between low-cost and legacy carriers, resulting in a 10% improvement in data reliability. Implemented random forest and fully connected neural network models using PyTorch to investigate non-linear associations between flight frequency and demand, presenting findings bi-weekly to research supervisors.
Education
- UC San DiegoMaster of Science - MS, Data Science and Machine Learning
- University of Wisconsin-MadisonBachelor of Arts - BA, Economics, Mathematics, and Computer Science
- Université Toulouse - Jean JaurèsSummer School
- St. Anthonys High School
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