People / Students / Class of 2027
Caroline Wu is a data scientist with a strong foundation in machine learning. She earned her B.S. in Cognitive Science with a specialization in Machine Learning and Neural Computation from UC San Diego. She is proficient in Python, deep learning frameworks, and statistical modeling, with a focus on bridging human intention and model behavior.
She has applied computational and statistical tools to drive strategic decisions across marketing, finance, and AI product development. At Shanghai Jiao Tong University, she designed a Bayesian Marketing Mix Modeling framework enhanced with AlphaEvolve logic and LLM-driven feature evolution, achieving a 25% improvement in accuracy and a 15% increase in marketing efficiency through optimized budget allocation. At Guotai Haitong Securities internship, she analyzed fund performance data and streamlined reporting workflows, reducing manual work by 20% and enabling faster data-backed marketing decisions.
Caroline aims to deepen her expertise in machine learning and business strategy through Northwestern's MLDS program, targeting a career as a Marketing Data Scientist at leading tech companies.
