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Making Machine Learning Pipelines Invincible with Prefect
Are your data science workflows encountering unexpected issues, causing pipelines to fail? We have good news for you: Prefect makes it easy to write safe code and make your workflows fault-tolerant.

In this talk, we’ll walk through:

- Positive and negative engineering and how it affects our machine learning/data science pipeline

- Prefect basics to handle situations where an error in your code causes the pipeline to fail

- How a few changes to your existing code can improve the behavior of your workflows

- Demo on deploying the prefect flows to run continuously on the data science platform, Saturn Cloud

After this talk, you’ll be empowered to run safer code on stronger pipelines. We look forward to seeing you there!


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Mitali Sanwal
Senior Data Scientist @Saturn Cloud
Mitali Sanwal is a Senior Data Scientist at Saturn Cloud where she supports the development of the data science platform. She brings over 7 years of experience at Oracle and Accenture, where she worked in software engineering and business analysis teams; spanning insurance, banking, and cloud computing domains. Mitali has a master’s degree in computer science and is passionate about increasing awareness of data science amongst the young generation.