Strategy, Urban Economics, Machine Learning, Software Engineering, Econometrics, Financial Analysis, Quantitative Risk, Product Management
Linda uses data to create narratives in a product focused on rebuilding local economies.
Previously, she was a Global Risk rotational analyst at Citigroup, implementing machine learning algorithms (gradient-boosting decision trees and neural networks) to create forward-looking financial performance views. She also wrote scripts to automate daily trade reporting with Citigroup’s hedge fund clients and developed strategies for business transformation in Citi’s Global Consumer Bank.
Linda graduated with high honors from UC Berkeley with a BA in Economics and a BS in Business Administration. She enjoys sailing, skiing, Python programming, and knitting.