Results-driven professional with experience in stock trading, real estate sales, and advanced computing. Proficient in Python, R, and SQL, with a strong background in data analysis, quantitative finance, and algorithm development. Currently pursuing honours in advanced computing with a focus on data analysis and mathematics.
2024 USYD Winner of Most Innovative Student Project that solves a real-world problem
TrackerBox is an innovative eye-tracking system that leverages electrooculography (EOG) and neural network technology to achieve minimally invasive and highly accurate horizontal eye-tracking. This project not only demonstrates advanced technological applications but also offers a more economical and convenient solution in the field of eye-tracking.
Led the development of data pipelines, including data acquisition, cleaning, integration, and initial model development. Successfully streamlined the data workflow, enhancing the overall system performance and reliability.