Dr. Kyaw Kyaw Htike
About Dr. Kyaw Kyaw Htike
Dr. Kyaw Kyaw Htike serves as the Head of Data Science at AirAsia, where he specializes in graph data science and advanced data insights. He has a robust background in data science, machine learning, and artificial intelligence, with previous roles at Trakomatic Pte Ltd, Whizzstar, and various academic institutions.
Current Role at AirAsia
Dr. Kyaw Kyaw Htike serves as the Head of Data Science and Head of Data at AirAsia since 2021. In this capacity, he focuses on leveraging data science to enhance operational efficiency and customer experience. He has developed and deployed customer-personalized flight and hotel recommendation systems, which aim to improve user engagement and satisfaction. His role involves managing data-driven projects and leading a team of data professionals to drive innovation within the organization.
Previous Experience in Data Science and Research
Before joining AirAsia, Dr. Htike held several significant positions in the field of data science. He worked as a Senior Research Scientist and Research Lead at Trakomatic Pte Ltd from 2018 to 2020, where he led the R&D department focusing on data, machine learning, and artificial intelligence. He also served as Chief Data Scientist and Chief Technology Officer at Whizzstar for seven months in 2020, contributing to data products and services. His academic background includes roles as a Research Fellow and Postgraduate Researcher at the University of Leeds.
Educational Background and Specialization
Dr. Htike earned his Doctor of Philosophy (Ph.D.) from the University of Leeds, specializing in data science, machine learning, and artificial intelligence. His academic journey also includes roles as a Co-Lecturer and Tutor at the same institution, where he taught various subjects related to computer engineering. He specializes in graph data science and graph algorithms, utilizing tools like Neo4j to extract advanced insights from data.
Contributions to Data Science and Analytics
Throughout his career, Dr. Htike has made significant contributions to data science and analytics. He implemented churned customer reactivation prediction systems to enhance customer retention strategies and conducted natural language processing and text analytics on customer feedback to improve sentiment analysis. His work includes developing optical character recognition and hotel image tagging systems, as well as leading initiatives in fraud analytics and next-best-offer systems to optimize business campaigns.
Leadership and Team Management
In his various roles, Dr. Htike has demonstrated strong leadership skills by managing and leading the hiring of principal, lead, and senior data scientists, data engineers, and software engineers. His ability to build and guide high-performing teams has been instrumental in driving successful data initiatives and fostering a culture of innovation within the organizations he has worked for.