Neil Leonard brings a strong set of analytical and mathematical tools to Cadeo. In his role as analyst, he excels in problem-solving and data management. With a mindset focused on adaptation, he creates data-driven and robust solutions. As a result, Neil excels in modern Python-based data science toolsets, including Pandas, BeautifulSoup, and Scikit-Learn. In his previous roles, Neil helped teams update to the wealth of new technical options that have emerged in the last few years. Prior to joining Cadeo, Neil was an analyst with Verdant Associates. There, he assisted in load impact and evaluation analysis, creating reusable code bases for these projects. Neil believes that robust and readable code helps bridge the barrier between the client and the more technical aspects of a project.
Neil holds a B.S in Math and Physics from the University of Oregon and an M.S. in Mathematical Physics from the University of Wisconsin-Madison. In his spare time, Neil enjoys retro video games and his dogs.