Data Analysis and Modeling: Analyzed encrypted transaction data for 200,000 bank customers using Python, achieving a predictive accuracy with an ROC score of 0.86 using LightGBM and Naive Bayes models.
Statistical Insight and Feature Engineering: Performed comprehensive statistical analysis and feature engineering to identify key predictors, improving model performance and data interpretability.
Strategic Business Impact: Conducted profitability and risk assessments based on model predictions, leading to data-driven strategic recommendations for new product development and risk mitigation.
Project on Kernel PCA
01.2024 - 04.2024
Project Overview: Implemented Kernel PCA to address nonlinear data complexities in high-dimensional spaces, enhancing traditional PCA's capacity for handling modern datasets with complex, nonlinear relationships.
Technical Implementation: Developed Python algorithms incorporating Singular Value Decomposition (SVD) to project data into higher-dimensional spaces, allowing for more nuanced data analysis and pattern recognition.
Application and Impact: Applied the model to both simulated and real datasets, demonstrating improved data fitting and variance maximization. Conducted a comprehensive theoretical and practical analysis, culminating in a detailed presentation of findings and their implications for real-world data challenges.
Intern
ShineWing Certificated Public Accountants LLP
07.2023 - 08.2023
Supported staff members in their daily tasks, reducing workload burden and allowing for increased focus on higher-priority assignments.
Gained valuable experience working within a specific industry, applying learned concepts directly into relevant work situations.
Sorted and organized files, spreadsheets, and reports.
Strengthened the ability to communicate with clients and colleagues at work
Education
Bachelor of Science in Mathematics and Economics, Certificate in Data Science -
University of Wisconsin-Madison
08.2024
Skills
STATA (Proficient)
Excel
LaTeX
Python
RStudio(Proficient)
English (Fluent)
Chinese (Native)
Leadership Experience
Chinese Undergraduate Student Association (CSSA), Member of the External Connection Department, 09/2022, Now, Negotiated cooperation projects with merchants, wrote and edited promotional materials, and published them on the CSSA WeChat account., Developed the ability to think innovatively and put ideas into practice, enhanced teamwork ability.
Beijing Jingshan School, China, Head of Sports Department (High School), 09/2018, 07/2020, Organized various cultural and sports activities for the school community, for example, School basketball games, School sports competition of the year, Collaborated with other student union members to plan and execute events., Demonstrated strong leadership and organizational skills. lay the foundation for teamwork skills and communication skills with other people in future work
Project
Data Analyst, [Your Company/Bank Name] Predicting Bank Customer Transaction Behavior Project Dates of Project Involvement
Data Analysis and Modeling: Analyzed encrypted transaction data for 200,000 bank customers using Python, achieving a predictive accuracy with an ROC score of 0.86 using LightGBM and Naive Bayes models.
Statistical Insight and Feature Engineering: Performed comprehensive statistical analysis and feature engineering to identify key predictors, improving model performance and data interpretability.
Strategic Business Impact: Conducted profitability and risk assessments based on model predictions, leading to data-driven strategic recommendations for new product development and risk mitigation.
Timeline
Project Data Analyst
02.2024 - 04.2024
Project on Kernel PCA
01.2024 - 04.2024
Intern
ShineWing Certificated Public Accountants LLP
07.2023 - 08.2023
Bachelor of Science in Mathematics and Economics, Certificate in Data Science -