Edmund Hee

Edmund Hee

Data Scientist @ AirAsia

About Edmund Hee

Edmund Hee is a Data Scientist currently employed at Airasia in Malaysia, where he has worked since 2017. He has a background in software engineering and experience in data analysis and backend development, having previously worked at Secq.me from 2014 to 2016.

Work at AirAsia

Edmund Hee has been employed at AirAsia as a Data Scientist since 2017. In this role, he applies his expertise in data analysis and backend development to support the company's data-driven initiatives. His responsibilities include developing data models and algorithms that enhance operational efficiency and improve decision-making processes within the organization.

Previous Experience at Secq.me

Prior to his current position, Edmund worked at Secq.me from 2014 to 2016 as a Data Analyst and Backend Developer. During his two years at Secq.me, he focused on data analytics and backend system development, contributing to various projects that required data processing and analysis.

Education and Expertise

Edmund studied at Universiti Tunku Abdul Rahman, where he pursued a degree in Software Engineering from 2012 to 2014. His educational background provided him with a solid foundation in engineering principles and software development, which he has applied throughout his career in data science and backend development.

Technical Skills and Projects

Edmund has developed multiple ETL engines to process data for visualization purposes. He implemented a news classification system using Latent Dirichlet Allocation (LDA) and utilized D3.js for exploratory analysis of Chicago crime data. Additionally, he developed an anomaly detection system specifically for crime data analysis, showcasing his ability to handle complex data challenges.

Technical Proficiencies

Edmund is experienced in building backend systems using technologies such as Python, Django, AWS, Docker, and NGINX. His technical skills enable him to create robust and scalable applications that support data processing and analysis in various contexts.

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