Ansel Cheung

High performing professional with multiple experiences delivering high-impact work in the data science industry. Skilled in developing strong internal and external relationships to facilitate collaborative achievement of high priority goals. Confident in ability to thrive in a fast-paced setting and leverage skills in mathematics, statistics, machine learning operations and deep learning, to enable team success. Committed to lifelong learning and going the extra mile to contribute to facilitate continuous improvement.

As a data science and analytics student at National University of Singapore, I've gained a deep understanding of advanced statistical and machine learning techniques, and I've honed my skills in Python, Java, R, and other data science tools. During my internships at Shopee, BEES Tel Aviv, and JobTech, I've had the opportunity to work on a range of projects, from DeepFake detection to data-centric analysis and pre-processing techniques.

In addition to my academic and industry experience, I've also achieved notable success in data science competitions and case competitions, including Code for Asia CodeathonX and the Israel's HackRU. I'm passionate about staying up to date with the latest trends and techniques in data science, and I'm always seeking out new challenges and opportunities to learn.

If you're looking for a data scientist who is passionate about delivering results, and who thrives in a fast-paced and dynamic environment, I'd love to hear from you. Let's connect and see how we can collaborate :)

Final Year Data Science student at the National University of Singapore. Current GPA 4.40/5, NUS Merit Scholar.