Speaker: Dana Sheahen

Robotics @Udacity

Dana currently works as a Curriculum Lead for Udacity leading their Robotics Nanodegree program content development in Mountain View, California. As a BSEE with an emphasis in software, she previously worked in a number of industry areas including automotive systems, medical instrumentation, and environmental data analysis. More recently, Dana obtained her Master’s in Computer Science from Georgia Tech with a specialty in Interactive Intelligence, and has focused on AI projects and AI education ever since.

Find Dana Sheahen 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