Summary
Veronica L is a Staff Data Scientist and founding data hire with 14+ years of AI/ML and quantitative research experience, building production-grade end-to-end solutions that turn geospatial, behavioral, financial, and text data into trusted decision-making tools. Based in New York, she designs LLM-powered agentic workflows, scalable data pipelines, and evaluation frameworks that help affordable housing and real estate teams underwrite deals faster and more reliably. Her background spans finance and risk modeling at major banks through senior data science roles at CRE tech and investment firms, where she improved model accuracy, automated reporting, and migrated complex warehouses to Snowflake. Equally fluent in Python, R, SQL and cloud platforms (AWS/GCP), she couples rigorous statistical methods with human-in-the-loop AI design to meet high-stakes reliability standards. Notably, she co-authored an AI patent and has repeatedly translated alternative data and messy regulatory text into reproducible production pipelines. Fluent in Korean and conversant in Mandarin and Japanese, she brings an unusually global and interdisciplinary perspective to applied AI in real estate and finance.
8 years of coding experience
7 years of employment as a software developer
Master’s Degree, Quantitative Methods - Data Science focus (QMSS), Master’s Degree, Quantitative Methods - Data Science focus (QMSS) at Columbia University
Bachelor's degree, Economics & Chinese Language and Literature (double major) , Bachelor's degree, Economics & Chinese Language and Literature (double major) at University of Virginia
English, Korean, Chinese, Japanese