Speaker: Katharine Jarmul

Co-Founder of KIProtect

Katharine Jarmul is a pythonista and co-founder of KIProtect, a data science and machine learning security company in Berlin, Germany. She's been using Python since 2008 to solve and create problems. She helped form the first PyLadies chapter in Los Angeles in 2010, and co-authored an O'Reilly book along with several video courses on Python and data. She enjoys following the latest developments in machine learning, ethics and privacy in data science, natural language processing and workflow automation infrastructure and is generally chatty and crabby on Twitter, where you can keep up with her latest shenanigans (@kjam).

Find Katharine Jarmul at

2019 Tracks

  • Predictive Data Pipelines & Architectures

    Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix

  • Sequential Data: Natural Language, Time Series, and Sound

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • 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