Summary
Xue Ying is a Data Scientist II based in Singapore with 10 years of experience turning messy data into reliable pipelines and actionable metrics. With a strong academic foundation from NUS (BSc Hons in Statistics with highest distinction and MSc in Data Science & Machine Learning), she blends rigorous statistical thinking with practical machine learning and deep learning experience. Her roles across industry—at BIPO, Nielsen, and Rio Tinto—span people analytics, time series, constraint programming, and visualization, demonstrating an ability to move models from research to production. She has also contributed to student-led data science societies in operational and treasury leadership roles, reflecting strong cross-functional collaboration and project stewardship. Currently completing doctoral-level research as a PhD candidate at NUS while working in industry, she brings a research-minded curiosity that uncovers subtle signals others might miss. Colleagues describe her as methodical, metrics-driven, and comfortable navigating both business priorities and complex technical trade-offs.
10 years of coding experience
4 years of employment as a software developer
Kuen Cheng High School
Master of Science - MS, Data Science and Machine Learning, Master of Science - MS, Data Science and Machine Learning at National University of Singapore
English, Chinese, Malay, hokkien