Fengmin (Milly) Tang is an experienced professional with a strong background in quantitative analysis, machine learning, and investment data science. Key roles include a Tax Consultant Intern at Deloitte, a Quantitative Strategist at Investmath Capital, and a Senior Manager and Senior Investment Data Scientist at Vanguard. Notable achievements encompass building a rebalance trading platform, developing a generative UI with knowledge graphs and LLMs, and creating a mobile app for music production. Additionally, experience as a Quantitative Researcher at Zhejiang Yingyang Asset Management involved alpha mining and deep reinforcement learning for stock trading. Fengmin (Milly) Tang holds a degree from Stanford University with a GPA of 3.98/4.00.
This person is not in the org chart
This person is not in any teams
This person is not in any offices