Ian Mac Donald
About Ian Mac Donald
Ian Mac Donald is a Senior Data Scientist with a background in Statistical Science and Data Analytics. He has experience in sports analytics with the New York Mets and has contributed to healthcare data projects at Aetna and NeuroFlow.
Work at Nayya
Currently, Ian Mac Donald serves as a Senior Data Scientist at Nayya, a position he has held since 2024. His role involves leveraging data science techniques to enhance the company's analytics capabilities. Nayya focuses on optimizing employee benefits and healthcare solutions, and Ian's expertise contributes to the development of data-driven strategies that support these objectives.
Previous Experience at New York Mets
Ian Mac Donald worked as a Data Scientist for the New York Mets from 2023 to 2024. During his tenure, he applied data science techniques to improve team performance. His experience in sports analytics allowed him to contribute valuable insights that informed decision-making processes within the organization.
Experience at Aetna
Before joining Nayya, Ian Mac Donald was employed at Aetna, a CVS Health Company, as a Data Scientist from 2022 to 2023. His work involved optimizing healthcare data analytics, focusing on enhancing the efficiency and effectiveness of healthcare delivery through data-driven insights.
Background in Data Science
Ian Mac Donald has a solid educational foundation in data science. He earned a Bachelor of Science in Statistical Science and Data Analytics from Temple University, where he studied from 2016 to 2020. He further advanced his knowledge by obtaining a Master of Science in Engineering with a focus on Data Science from the University of Pennsylvania, completing his studies from 2020 to 2022.
Contributions at NeuroFlow
Prior to his role at Aetna, Ian Mac Donald worked as a Data Science Associate at NeuroFlow from 2019 to 2022. In this position, he contributed to the development of data-driven solutions aimed at enhancing mental health care delivery. His work focused on utilizing analytics to improve patient outcomes and streamline mental health services.