👋 Hello! I’m Wang Xiaoyang
I’m a passionate data scientist with an MSc in Statistics and Data Science. I love exploring data to uncover insights and solving complex problems through statistical modeling and programming. I have extensive experience in developing interactive dashboards with Shiny. I also have strong research interests and experience in large language models (LLMs) and machine learning applications. More recently, I focus on quantitative research in stock and fund analysis.
💼 Experience
2024.07 - 2025.08
Senior Research Analyst
CSM Media Research - Sports and Sponsorship Research Department
- Produce regular and interactive match reports on sports competition broadcasts including top five European soccer leagues, F1, ONE Championship, etc.
- Fine-tune Large Language Models (LLMs) for departmental research and analysis workflows
- Develop data cleaning applications to support the construction and maintenance of departmental databases
2023.07 - 2024.05
Research Assistant
UW-Madison - SolÃs-Lemus Lab
- Developed an online dashboard for data cleaning, visualization, and analysis for the Wisconsin Seed Potato Certification Program
- Conducted research focusing on hypothesis testing in BHV tree space
🎓 Education
2022 - 2024
University of Wisconsin-Madison
Master of Science in Statistics
- Statistics & Data Science
- Research Assistant - SolÃs-Lemus Lab
- Location: Madison, WI, USA
2019 - 2023
East China Normal University
Bachelor of Science in Statistics
- Location: Shanghai, China
2017 - 2019
Bejing National Day School
Highschool
- Location: Beijing, China
💼 Skills
🚀 Programming Languages
Python
R
C++
Shell/Bash
� Tools & Frameworks
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
Transformers
Shiny
Tidyverse
VectorBT
MySQL
Git
Jupyter