Vincent Pisano
About Vincent Pisano
Vincent Pisano is a Data Scientist with extensive experience in healthcare data analysis and research. He has worked at various institutions, including ConsumerMedical and Abacus Insights, and holds a Master of Computer Science from Georgia Institute of Technology.
Work at Abacus Insights
Vincent Pisano currently serves as a Data Scientist at Abacus Insights, a position he has held since 2023. His role involves leveraging data analytics to support healthcare solutions. He is based in Boston, Massachusetts, where he applies his expertise to enhance data-driven decision-making processes within the organization.
Previous Experience in Data Science
Before joining Abacus Insights, Vincent Pisano worked as a Data Scientist at Vori Health for 10 months in 2022. He also held the position of Data Scientist at ConsumerMedical from 2020 to 2022, where he contributed to various data analysis projects. His experience in data science is complemented by his role as a Clinical Data Analyst at Mersana Therapeutics from 2018 to 2020.
Clinical Research Background
Vincent Pisano has a strong background in clinical research. He worked as a Clinical Research Coordinator II at Massachusetts General Hospital from 2014 to 2016 in the Department of Psychiatry. Additionally, he served as a Clinical Research Assistant at McLean Hospital from 2011 to 2012. His experience in these roles provided him with valuable insights into clinical data management and research methodologies.
Education and Expertise
Vincent Pisano earned a Master of Computer Science with a focus on Machine Learning from the Georgia Institute of Technology, completing his studies in 2022. He also holds a Bachelor of Science in Biology from Northeastern University, where he studied from 2008 to 2012. His educational background equips him with a solid foundation in both biological sciences and advanced data analytics.
Contributions to Data Projects
Throughout his career, Vincent Pisano has contributed to significant data projects. He served as the customer success tech lead on a claims data migration project for a mid-sized Blue Cross client. He also launched a risk scoring library with an interactive Streamlit front end on Snowflake and developed a Medicare risk scoring Python library, maintaining CI/CD across client Databricks environments.