- Conducting research on music-related topics
- Building and training deep learning models for music-related tasks
- Assisting in the development of content generation algorithms
- Tracking and processing data using various tools such as DBT, Databricks, DBeaver, and Spark
- Querying data from Redshift and S3 to extract insights and create reports
- Building interactive Tableau dashboards to visualize and analyze data
- Conducting quality assurance (QA) on mobile applications / web pages to ensure data accuracy
- Expected Graduation: September 2024
View Courses
- Graduated with First Class Honors (GPA: 3.595 / 4.000)
- Minor in Data Analytics and Informatics
- Deanβs List for Academic Excellence: 2021-2022, 2022-2023
- Final Year Project: Music Chord Detection
A discord bot developed using discord.py
A dark theme for VSCode across various programming languages
My first deep learning project - music genre classification using CNNs.
My solutions to LeetCode problems, including Python, C and SQL.
My solutions to Codewars problems, including Python, C and Java.
Adding controlnet preprocessor nodes to ComfyUI
Languages | Fluent - spoken and written English, Native - Chinese |
---|---|
Programming Languages | Python, Prolog, JavaScript, C |
Database Systems | Amazon Redshift, Spark SQL, MySQL, MongoDB, PostgreSQL |
ETL Tools | Databricks, DBeaver, dbt |
Data Visualization Tools | Tableau |
Python Libraries | PyTorch, Tensorflow 2, scikit-learn, PySpark, Matplotlib, Seaborn, NumPy, Pandas, Librosa, Selenium, BeautifulSoup |
Web Development | Node.js, Express.js, React.js, Mongoose, Bootstrap |