Hi everyone! I am Tony Cheung, a Marketing Data Science Manager at Domino’s. After completing a BSc in Economics at the Hong Kong University of Science and Technology in 2016, I began my career at Cathay Pacific, working in both the Cargo and Passenger Revenue departments as a Data Analyst and Assistant Data Manager.
In autumn 2020, I moved to the UK to pursue a master’s degree in Data Science at the University of Bath. During my placement year at Universal Music Group, I collaborated with data scientists in an internal strategy team, delivering analytics solutions to support various record labels. After completing my master’s, I joined Dyson as a Data Scientist, leading a data science team focused on leveraging data to enhance user experience and personalization.
Most recently, I transitioned to my current role at Domino’s, where I focus on applying data science to marketing—leveraging customers’, company, and competitors’ data. My projects include occasion segmentation, competitor intelligence, and personalized deal recommendations, all aimed at maximizing customer engagement and driving business growth.
Through my professional journey and academic pursuits, I’ve noticed how code snippets and tutorials online often rely heavily on libraries without explaining the underlying concepts or mathematics. This inspired me to create a website where I not only break down the algorithms—covering the intuition, mathematics, and Python implementations—but also regularly share the latest technologies and insights on applying data science and AI in different scenarios through blog posts.
A selection of blogs to share interesting findings across different industries through data science and web programming fundamentals. All of the projects, from the corresponding blogs, are built by scratch and make sure that you fully understand the end-to-end approach to generate insights from data
A guide to explain the data science basics, from algorithms to popular Python libraries.
A guide to walkthrough common machine learning algorithms. I build all the algorithms by scratch and make sure that you fully understand the concepts before coding.
Stockholm, Sweden - February 2024
Mobile Phone: +44 (0) 7735880125
Email: [email protected]