Data Science Intern

Chia-Yu Wei

+1-517-***-**** ***********@*****.***

LinkedIn: https://www.linkedin.com/in/chia-yu-wei-242302290/ Education

Michigan State University Lansing, MI

Master of Science in Statistics Aug. 2023 – May 2025 National Sun Yat-sen University Kaohsiung, Taiwan

Bachelor of Science in Applied Mathematics Aug. 2019 – May 2023 Experience

Data Science Intern Oct. 2024 – Present

MyEdMaster Herndon, VA

• Developed an AI-driven content generation system leveraging large language models (LLMs) to create personalized learning materials and courses using Python, enhancing content adaptability based on students’ proficiency levels.

• Designed and implemented a Flask-based web application that allows users to specify their learning preferences and receive dynamically generated educational content, improving user engagement and accessibility.

• Integrated student assessment data to tailor textbook content to individual learning levels, optimizing curriculum customization and adaptive learning.

Actuarial Intern Jun. 2024 – Aug. 2024

NBP Paribas Cardif Taipei, Taiwan

• Developed and fine-tuned reinsurance premium models using Python, enhancing computational efficiency and accuracy.

• Migrated legacy FoxPro code to Python, optimizing performance and improving execution speed by 33%.

• Collaborated with actuaries and data teams to analyze large datasets, providing actionable insights for decision-making.

• Gained hands-on experience in actuarial practices, including life insurance and reinsurance processes. Volleyball Team Captain Sep. 2020 – Sep. 2022

National Sun Yat-sen University Kaohsiung, Taiwan

• Improved team achievements by analyzing athletes’ performance and data on our opponents and acted as a bridge between the coach and players.

• Led the team to achieve the best performance in its history. Math Tutor Sep. 2022 – Jun. 2023

Private Tutor Kaohsiung, Taiwan

• Provide one-on-one instruction to middle and high school students in mathematics to improve their academic performance.

Projects

Heart Disease Prediction R, Logistic Regression, Multivariate Analysis, Machine Learning April 2024

• Developed a logistic regression and ML models to classify individuals at high risk of heart disease and achieved accuracy higher than 85%.

• Performed data preprocessing, including handling missing values, feature scaling, and exploratory data analysis

(EDA)

• Evaluated model accuracy using AUC-ROC curves, precision-recall metrics, and cross-validation. Exams and Certifications

Actuarial Exam P Society of Actuaries Sep. 2024

Google analytics individual qualification Google Digital Academy (Skillshop) Dec. 2023 Technical Skills

Programming Languages: R, Python, SAS, SQL, MATLAB Tools: Power BI, Tableau, Excel (Advanced), Git, GitHub Libraries: Pandas, NumPy, Matplotlib, Scikit-learn, Pytorch, SQLite, ggplot2 Language: English (Fluent), Mandarin (Native)

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