As data science explodes in popularity, more and more people are vying for entry-level data science jobs. How can you stand out from the crowd? If you're a junior or mid-level data scientist, how can you continue to grow your skills, meet other data scientists, and share what you've learned?
In this talk, Emily will show you how you can make a strong data science portfolio, including by giving talks, contributing to other's open source projects, writing tutorials, and building side projects, that will accelerate your career.
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Creating a Strong Data Science Portfolio
Emily is a data scientist at DataCamp, where she's built their A/B testing analytics system and analyzed over 100 experiments. Previously, she worked at Etsy as a data scientist where she worked with their search team to design, implement, and analyze experiments on the ranking algorithms, UI changes, and new features.