Tangming Li is a data science professional with extensive experience in machine learning and data analytics across various industries. Currently serving as a Data Science Engineer at Sabre Corporation since May 2022, Tangming has designed a hotel recommendation system using Tensorflow Recommenders and developed an API with Python FastAPI. Previously, as a Machine Learning Developer at Sequium Asset Solutions, Tangming optimized data analytics processes and created mathematical algorithms to enhance profitability. As a Data Science Developer at Summitworks Technologies, Tangming analyzed cryptocurrency price fluctuations and provided investment recommendations. Prior roles include Data Analyst at Bank of China, where transaction data was analyzed for Anti Money Laundering compliance and automated data processing was implemented, and an internship as a Quantitative Trading Analyst at Guosen Securities. Tangming holds a Master of Arts in Statistics from Columbia University and a Bachelor of Science in Applied Mathematics from Shenzhen University. Additionally, academic experience includes studies in Math-Econ at UC San Diego.
This person is not in any teams
This person is not in any offices