Michael’s background is in ecological and water resources engineering. He began his career as a water resources engineer in a Fortune 500 consulting firm. Having worked to industry-standard analytical techniques and software, he discovered that he had a penchant for large scale data science and data visualization projects. Examples of such projects include probabilistic flood risk assessment and floodplain data visualization techniques in Google Earth, which he pioneered. As an NYCDSA fellow, Michael has devoted himself to mastering and digesting data science concepts and applying these lessons to real-world problems.
