I'm a data science enthusiast currently pursuing a Master of Science in Applied Data Science at the University of Southern California, set to graduate in December 2024. With a strong background in computer science from the University of Nottingham Ningbo China, I am passionate about leveraging data to solve real-world problems.
- Programming Languages: Python, Java, C/C++, MATLAB, HTML5, CSS3, JavaScript, Swift, Haskell
- Frameworks & Libraries: Pandas, NumPy, SciPy, TensorFlow, PyTorch, Keras, XGBoost, Matplotlib, Seaborn
- Big Data & Cloud: Apache Spark, Hadoop, AWS, Google Cloud
- Tools: Tableau, Power BI
- Advanced machine learning techniques and cloud services optimization to enhance data-driven solutions.
- Data Developer Intern at Lark AI ByteDance, where I spearheaded annotation accuracy initiatives and participated in cutting-edge NLP projects.
- Research Assistant Intern at Zhejiang Future Petrochemical Co., where I used Python for data analysis and automated data collection processes.
- Hadoop MapReduce Emulator: Developed an emulator to understand and optimize the MapReduce process.
- Music-driven Dance Generation: Created a model for generating dance sequences based on music dynamics using deep learning.
- Scalable Data Systems Project: Applied principles from DSCI 553 at USC to develop scalable systems using Apache Spark for large-scale data analysis, focusing on practical applications in data mining and machine learning.
- Advanced Algorithm Solutions: Engaged in rigorous study and application of complex algorithmic techniques in CSCI-570. This included tackling problems using divide and conquer, dynamic programming, and network flow, among other methods, to enhance problem-solving and computational efficiency in practical scenarios.
- Data Science for Business and Society: Explored applications of data science in DSCI-599 to solve real-world problems across various domains such as healthcare, public safety, and marketing using advanced machine learning techniques.
- Data Science Professional Practicum:
- Stock Portfolio Management System: Developed a system using the Yahoo Finance API to manage stock portfolios, implementing forecasting methods like ARIMA and LSTM for trading algorithms.
- Reddit Post Scraper and Analyzer: Created tools to scrape, process, and analyze data from Reddit, employing batch processing and machine learning techniques like Doc2Vec and KMeans for content analysis.
- Web Data Extraction for Well-data Analysis: Implemented a system to extract and preprocess data from web and PDF sources, integrating various data into a MySQL database for further analysis.
- PDF Chatbot with GPT 3.5: Built a custom chatbot interface using LangChain and GPT 3.5 to interact with information extracted from PDF documents, enhancing user engagement with document content.
- Expedition Bot: Developed a sophisticated travel planning bot that integrates multiple technologies and APIs to provide personalized travel solutions.
- Email: [email protected]
- LinkedIn: linkedin.com/in/HaoyueXU99
Feel free to check out my repositories and don't hesitate to connect!