π Master's Student in Interdisciplinary Data Science at Duke University
π Passionate about Data Science, Machine Learning, and Software Engineering
π± Looking for roles in Data Science, Data Analysis, Data Engineering, and Machine Learning Engineering
I'm currently pursuing my Master's in Interdisciplinary Data Science at Duke University. With a Bachelor's in Statistics and Data Science from UC Santa Barbara, I bring a solid foundation in statistical modeling, machine learning, and data analysis.
- Languages: Python, R, SQL, SAS, C++, Rust, Spark, HTML, Markdown, Tex, MatLab
- Tools: AWS, Azure, Jupyter, RStudio, Git, Tableau, Microsoft Office, Quarto, TeX
- Technologies: Data Analysis, Machine Learning, Deep Learning, NLP, DevOps
- Packages: Pandas, Numpy, Scipy, Scikit-learn, Tensorflow, Keras, PyTorch
- Car Recommendation: Using Rust actix_web to build a interactive web app for car recommendation based on user preferences
- Steam Review Analyzer: An interactive tool for analyzing game reviews on Steam, utilizing sentiment analysis and data visualization.
- Text Summarize App: A web application for efficient text summarization, leveraging the power of GPT-3.5 and Flask.
- Duke University: Master in Interdisciplinary Data Science
- University of California - Santa Barbara: Bachelor of Statistics and Data Science, Minor in Earth Science
- Graduate Teaching Assistant at Duke University, guiding students in data analysis and machine learning techniques.
- Research Assistant under Prof. Tomoyuki Ichiba, focused on climate data analysis and predictive modeling.