Peter is a results-driven Data Scientist currently contributing my expertise to a Fortune 500 company, where he develops and implements advanced machine learning models to extract meaningful insights from complex datasets. Pursuing a Master’s in Data Science at Johns Hopkins University, he’s dedicated to staying at the forefront of cutting-edge methodologies in the field. Armed with a solid foundation in Statistics from Colby College, Peter brings a unique blend of academic knowledge and practical experience to SIG. His passion lies in supporting natural resource management through data science applications, and he’s particularly dedicated to leveraging his skills to enhance decision-making processes for the conservation and sustainable development of public lands. Peter believes in the transformative power of data and is excited about the prospect of applying his expertise to address challenges in natural resource management.