Julia Lintern is a senior data scientist at Metis, where she coteaches the data science bootcamp, develops curricula, and focuses on various other special projects. Previously, Julia worked as a data scientist at JetBlue, where she used quantitative analysis and machine learning methods to provide continuous assessment of the aircraft fleet. Julia began her career as a structures engineer designing repairs for damaged aircraft. In her free time, she collaborates on various projects, such as the development of a trap music generator; she has also worked on creative side projects such as Lia Lintern, her own fashion label. Julia holds an MA in applied math from Hunter College, where she focused on visualizations of various numerical methods including collocation and finite element methods and discovered a deep appreciation for the combination of mathematics and visualizations, leading her to data science as a natural extension of these ideas.
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