Andrew is transitioning to data science after spending 5 years modeling policy impacts for think-tanks and consultancies in Washington, DC. His educational and career background has been focused on energy efficiency, environmental sustainability, and physics. Andrew is a skilled communicator and excels at explaining complex topics in a manner that is simple and easy-to-understand. He is particularly fond of the Random Forest model, which he considers to be the “Ask the Audience” lifeline of Machine Learning algorithms.
NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.
