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The Data Scientist Show
From physics PhD to data science leader, unexpected challenges in survey data, Python vs R, EDA best practices, building MLOps toolkit - Julia Silge - The Data Scientist Show #087
Mar 30, 2024
Julia Silge, former astrophysicist turned data science leader, discusses challenges in survey data, Python vs. R, EDA best practices, and building MLOps tools. Topics include text analysis, balancing data science and engineering, and her journey from physics PhD to engineering manager at Posit PBC.
46:18
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Quick takeaways
- Transitioning from astrophysics to data science requires self-study and blogging to showcase skills.
- Balancing data analysis and tool development is crucial for Julia's fulfillment in her leadership role.
Deep dives
Julia's Transition to Data Science
Julia shares her journey transitioning from astrophysics to data science, emphasizing the importance of self-study and blogging to showcase her skills. She highlights her experience starting in the non-profit sector, leveraging data analysis skills to secure her first data science title, and eventually transitioning to a leadership role at Positive PBC.
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Discover
highlights
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