Angie L.

Angie L. is a Senior Data Scientist at Meta, with extensive experience in data science and econometrics across various roles. Angie worked at World Wide Technology and Springboard as a Data Scientist, contributing to machine learning integration and predictive modeling. Prior experience includes a role as a Data Scientist at Nordea Markets, where Angie implemented machine learning techniques that achieved significant revenue and cost efficiencies. Angie's academic background includes a Ph.D. in Econometrics and Quantitative Economics from the University of Sydney, complemented by research positions at the Ontario Securities Commission and the Capital Markets Cooperative Research Centre. Angie also has experience as a Quantitative Strategist at Macquarie Group and previously held research and teaching positions, enhancing expertise in financial market analysis, machine learning, and curriculum development.