Summary
Fangzhou Liu is a data scientist in Boston with eight years of experience applying statistical and machine learning techniques to banking, energy, and product analytics. Currently at Santander Bank, he specializes in risk modeling and growth-focused analytics, blending a statistics MA from Boston University with a computer science BS from Ohio State. His background spans NLP topic modeling (SIF and TF-IDF with semantic clustering) for customer feedback, transaction refinement with SQL/Python, and time-series clustering of electricity usage using advanced SNN methods. Fangzhou tends to bridge research and production—translating MATLAB and experimental regression work into actionable pricing or control strategies—and visualizes temporal shifts in customer concerns to guide product improvements. Colleagues describe him as analytically rigorous yet pragmatic, able to distill complex feature engineering into clear business insights. He brings a financial-services focus combined with cross-domain curiosity that surfaces non-obvious patterns in customer and usage data.
8 years of coding experience
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at The Ohio State University
Master of Arts - MA, Statistics, Master of Arts - MA, Statistics at Boston University