A program that calculates RTK with GNSS L1/L2 and BDS B1I
C 5.51%C++ 94.49%
realtime-kinematic's Introduction
Hi there 👋
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 [email protected] for inquiries or collaboration opportunities.
🧰 Languages and Tools:
Programming Languages
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.
Databases
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.
ML / DL / Big Data
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.