Brad is experienced in machine learning, data mining, and econometrics. He is a US Navy veteran with previous roles as an Economic Researcher, Risk Management Analyst, Financial Modelling Officer, and Application Engineer. He holds Master’s degrees in Economics and Computer Science.
Proficient: Python (pandas, numpy, scikit-learn), R (caret, mlr), SQL, Tableau
Big Data tools: PySpark, MLlib, TensorFlow, AWS EC2, Kafka, Apache Storm
Distributed Computing: HDFS, Hadoop, MapReduce, Docker
Database: HBase, Crate, SQLite