Kee Jin Lee
About Kee Jin Lee
Kee Jin Lee is a Senior Data Science Manager at AirAsia, with a background in data science and engineering. He has experience in various roles at A*STAR and possesses skills in programming, project management, and web application development.
Current Role at AirAsia
Kee Jin Lee serves as the Senior Data Science Manager at AirAsia, a position he has held since 2022. In this role, he is responsible for overseeing data science initiatives and leading projects that utilize data-driven insights to enhance operational efficiency and customer experience. His background in data science and project management supports his contributions to the company's strategic goals.
Previous Experience at AirAsia
Prior to his current role, Kee Jin Lee worked at AirAsia as a Data Science Manager from 2019 to 2022. During this time, he focused on implementing data analytics solutions and fostering a data-centric culture within the organization. His experience at AirAsia has equipped him with valuable insights into the aviation industry and its data requirements.
Experience at A*STAR
Kee Jin Lee's career includes significant experience at A*STAR - Agency for Science, Technology and Research. He worked there from 2016 to 2019, initially as Scientist I and later as Scientist II for a brief period in 2019. In these roles, he contributed to various research projects and served as a Data Mining Trainer, enhancing his expertise in data analysis and machine learning.
Education and Expertise
Kee Jin Lee holds a Bachelor's degree in Aerospace, Aeronautical and Astronautical Engineering from Nanyang Technological University, completed in 2011. He further pursued a Doctor of Philosophy (PhD) in Mechanical Engineering at the same institution, graduating in 2015. His academic background provides a strong foundation for his work in data science and engineering.
Technical Skills and Proficiencies
Kee Jin Lee possesses a diverse skill set that includes proficiency in programming languages such as Python, C, JavaScript, and Matlab. He is experienced in developing web applications using Flask and has a solid understanding of Industrial Internet of Things (IIoT) concepts. Additionally, he is familiar with operating systems like Windows and Linux (Ubuntu), which supports his technical capabilities in data science.