• Data Science
• Data Engineering
• DevOps & MLOps
• Cloud
• Infra

I am passionate about data and technology. In the process of creating appropriate infrastructure for data analysis, I strive to improve the stability and performance of the system by applying the concepts and techniques of data engineering and DevOps. Recently, I have been studying Docker and Kubernetes to implement these technologies.

My goal is to increase the efficiency of data analysis by building a data pipeline for fast analysis and effective data visualization. To become a data scientist, I am constantly learning new technologies and concepts, and accumulating knowledge and experience in data and technology.

Thank you.