My name is Sihan (Riddle) Wang. I'm a Master of Data Science student at the University of California San Diego, Halıcıoğlu Data Science Institute.
- 🌱 I specialize in data science, machine learning, and deep learning, with a passion for applying these disciplines to solve complex problems and extract meaningful insights from data.
- 💼 My professional experiences include internships and projects where I've applied data analysis, machine learning, and computer vision techniques to real-world problems, significantly improving model performance and data processing capabilities.
- 📊 I've led and contributed to several impactful projects, including an integrated game recommendation system utilizing PostgreSQL, MongoDB, and Neo4j within a Docker environment for efficient management of complex data and user profiles.
- 🛠 My technical skill set includes:
- Advanced Programming Languages: Python (with a focus on data science and ML libraries), C++, C#, and HTML for web development and software engineering.
- Machine Learning/Deep Learning Frameworks: Proficient with PyTorch, TensorFlow, scikit-learn, and experienced in developing algorithms for computer vision and anomaly detection.
- Big Data Technologies: Hands-on experience with Apache Spark and Hadoop for scalable data processing, and Apache Hive for data warehousing.
- Database Management: Skilled in SQL databases with practical experience in MySQL, MongoDB, and Neo4j, enabling efficient data storage, manipulation, and complex query execution.
- 💬 I'm fluent in English and Mandarin, capable of navigating multicultural environments and collaborating effectively in diverse teams.
- 📫 Reach out to me via email at siw045@ucsd.edu for inquiries or collaboration opportunities.
- Python: Extensive experience for data science, ML, and DL applications, including libraries like Numpy, Pandas, Matplotlib, and frameworks such as PyTorch and TensorFlow.
- C++ and C#: Solid background in object-oriented programming, enabling efficient software development and system optimization.
- HTML: Proficient in web development, creating user-friendly interfaces and integrating with backend services.
- MySQL & PostgreSQL: Strong foundation in relational database management systems, optimizing data structure and ensuring data integrity.
- MongoDB: Experienced in NoSQL databases for handling large-scale, unstructured data.
- Neo4j: Skilled in graph databases, enhancing data relationships and pattern recognition for complex queries and analytics.
- Machine Learning Algorithms: Expertise in K-Nearest Neighbors (KNN), Decision Trees, SVM, and ensemble methods for predictive modeling and classification tasks.
- Deep Learning: Proficient in CNNs, RNNs, and GANs, applying them to computer vision, NLP, and generative tasks.
- Data Processing & Analysis: Experienced with big data frameworks like Apache Spark for real-time data processing and analytics, and Apache Hive for querying and managing large datasets.