Summary
Sailing Ni is a data scientist with 10 years of cross-industry experience building data products that turn messy signals into business impact, from CTR optimization and recommender systems to time-series forecasting and NLP runtime improvements. He has delivered applied ML and large-scale analytics at Amazon, Meituan, POIZON, and startups, and currently leads customer segmentation and optimization efforts at Microsoft. Trained in business analytics at UCLA Anderson and commerce/CS at Rotman, he blends quantitative rigor with product sensibility to prioritize pipelines, metrics, and experimentation that move teams forward. Sailing is particularly drawn to problems at the intersection of NLP, causal inference, and personalization, and he measures success by operational impact rather than raw accuracy. A pragmatic collaborator, he has gone beyond models to automate SQL workflows and ship forecasting analytics that inform strategic decisions. Outside the obvious, his background in trading and product roles gives him an unusual edge in translating fast-paced business requirements into robust data solutions.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS Business Analytics, Master of Science - MS Business Analytics at UCLA Anderson School of Management
Bachelor of Commerce - BCom Finance and Economics Specialist (Combined Computer Science Major), Bachelor of Commerce - BCom Finance and Economics Specialist (Combined Computer Science Major) at Rotman Commerce, University of Toronto