Speaker: Greg Novak

Data Scientist @StitchFix

Greg Novak leads the Global Optimization team at Stitch Fix, focusing on optimizations that that cut across the organizational and structural boundaries of the business.  To test and evaluate these cross-functional improvements, he has worked across the entire stack to develop software infrastructure enabling the use of experimental techniques previously unused at Stitch Fix.  Before joining Stitch Fix, Greg spent a decade doing research in astrophysics focused on black holes and galaxy evolution.

Find Greg Novak at

Talk : Optimizing Spark

Tracks

  • Deep Learning Applications & Practices

    Deep learning lessons using tooling such as Tensorflow & PyTorch, across domains like large-scale cloud-native apps and fintech, and tacking concerns around interpretability of ML models.

  • Predictive Data Pipelines & Architectures

    Best practices for building real-world data pipelines doing interesting things like predictions, recommender systems, fraud prevention, ranking systems, and more.

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud

  • Real-world Data Engineering

    Showcasing DataEng tech and highlighting the strengths of each in real-world applications.