As a Data Scientist at Very, Katie is focused on developing agile data science and pair programming in a collaborative workspace.
Python, R, and SQL
Functional Programming, Microservices, Cloud Functions, Anomaly Detection, Object Detection, Reinforcement Learning, Forecasting and Optimization
Tools & Frameworks
Pandas, Numpy, Scikit Learn, and Keras
- FreightWaves, Data Engineer
- Bellhops, Data Engineer/ Data Scientist Intern
Katie holds a Master's Degree in Computer Science: Data Science from The University of Tennessee at Chattanooga. Prior to starting at Very, she worked extensively with Google Cloud Platform, Amazon Web Services, and a variety of Database platforms to create efficient ELT pipelines and maintain a world-class data architecture.
Katie enjoys playing rugby, CrossFit, running, hiking, playing the electric bass, and painting.