Samini Subramaniam, PhD
About Samini Subramaniam, PhD
Samini Subramaniam, PhD, is a Senior Data Scientist at AirAsia with a strong background in data analytics and computer technology. He has held various roles in academia and industry, contributing to projects in predictive modeling and leading teams in data science initiatives.
Work at AirAsia
Samini Subramaniam currently holds the position of Senior Data Scientist at AirAsia, a role she has occupied since 2019. In this capacity, she has led a team of data scientists on route revenue projects, contributing to the company's data-driven decision-making processes. Prior to her current role, she worked as a Data Scientist II in Predictive Modeling at AirAsia from 2019 to 2021. Additionally, she briefly served as a Data Scientist in 2022 for three months.
Education and Expertise
Samini Subramaniam earned her Doctor of Philosophy (PhD) in Information Technology from Multimedia University, completing her studies from 2014 to 2020. She also holds a Master's degree in Computer/Information Technology Administration and Management from the same institution. Her academic background is complemented by her strong research focus in Computer and Information Technology. She has expertise in programming languages and tools such as Python, Java, and various database systems, as well as data analytics.
Background
Before joining AirAsia, Samini Subramaniam worked at Multimedia University as an Academician and Researcher from 2013 to 2019. She also served as a Graduate Research Assistant (GRA) at the university from 2009 to 2011. After her tenure at AirAsia, she worked as a Senior Software Engineer in Innovations at Carsome from 2021 to 2022 for three months. Since 2020, she has been studying at RedBeat Academy AirAsia to further enhance her skills.
Achievements
Samini Subramaniam has a notable track record in her field, particularly in leading data science teams on significant projects at AirAsia. Her research background and expertise in data analytics have positioned her as a valuable asset in the technology and aviation sectors. Her contributions to predictive modeling and route revenue projects demonstrate her capability in applying data science to real-world challenges.