Junying Mao
About Junying Mao
Junying Mao is a data scientist with over eight years of experience in business intelligence, specializing in data visualization and decision-making solutions. He has worked at various institutions, including California State University, Bakersfield and Hawaiian Airlines, and holds a Master of Science in Software Engineering.
Work at Hawaiian Airlines
Junying Mao currently serves as a Data Scientist at Hawaiian Airlines, a position held since 2023. Prior to this role, she worked as a People and Data Analyst at the same organization from 2022 to 2023. In her roles, she has focused on leveraging data to enhance operational efficiency and support decision-making processes within the airline industry.
Education and Expertise
Junying Mao holds a Master of Science in Software Engineering from California State University, Fullerton, where she studied from 2017 to 2019. She also earned a Bachelor of Science in Information Technology from the University of Massachusetts Lowell, completing her studies from 2013 to 2016. In 2021, she furthered her education by studying Data Science at MIT Professional Education for 11 months. Her educational background supports her expertise in data visualization and business intelligence.
Background
Before her tenure at Hawaiian Airlines, Junying Mao accumulated significant experience in various roles. She worked at California State University, Bakersfield as an Associate in Academic & Institutional Studies from 2019 to 2022 and as a Programmer Analyst from 2015 to 2019. Additionally, she served as a Programmer II at the Kern County Sheriff's Office from 2009 to 2015. Her diverse background in both academic and judicial settings has contributed to her strong analytical skills.
Achievements in Data Science
Throughout her career, Junying Mao has developed and implemented ETL processes that have improved data-driven decision-making in higher education and judicial environments. With over eight years of experience in business intelligence, she has focused on data visualization and providing actionable insights to decision-makers. Her ongoing interest in machine learning and artificial intelligence reflects her commitment to continuous professional development.