Trần Vĩ

I am a dedicated Data Scientist with a strong background in machine learning and data engineering. My journey began with a Bachelor of Science in Computer Science from the University of Information Technology, where I developed a solid foundation in data analysis and algorithm design. Currently, I am working at GAION Co. Ltd, where I built a self-supervised learning model to detect anomalous events in real-time within Korea’s banking sector, showcasing my ability to apply advanced data science techniques to solve real-world problems.

Throughout my career, I have had the opportunity to work on diverse projects that have honed my skills in data streaming, deep learning, and recommendation systems. At Opus Match, I spearheaded the development of a core recommendation system that analyzes candidate behaviors, providing personalized job matches. My experience also includes engineering end-to-end data systems for e-commerce platforms and fine-tuning large language models for healthcare applications. I am passionate about leveraging data to drive insights and improve decision-making processes.