Brendan Herger enjoys bridging the gap between data science and engineering, to build and deploy data products.
Brendan brings a unique combination of machine learning, deep learning, and software engineering skills. In his previous work at Capital One and startups, he has built authorization fraud, insider threat, and legal discovery automation platforms. In each of these cases he's lead a team of data scientists and data engineers to enable and elevate his client's business workflow (and capture some amazing data).
When he's not knee deep in a code base, Brendan can be found traveling, sharing his collection of Japanese teas, and playing board games with his partner in Seattle.
Check out content by Brendan:
Package: keras-pandas, a python package that allows users to rapidly build and iterate on deep learning models.
Blog post: Starwars Spoilers, a look at whether Reddit posts contain spoilers, using Deep Learning and Natural Language Processing