Jack is a proven leader with the ability to inspire strategic decision-making through innovative approaches to understanding massive amount of data created by businesses. As a management consultant, he has experience in facilitating cross-departmental collaboration using agile methodologies and communicating data findings to executive sponsors and stakeholders. He has successfully led a data enrollment reconciliation effort for a multi-state large Blues plan as part of a $200M corporate initiative dedicated to preparing operations in the Affordable Care Act (ACA) Health Insurance Exchanges. At NYC Data Science Academy, he combined machine learning algorithms and business domain knowledge to forecast GDP growth into 2020 in the UK, Spain, and Italy using over 460 annual macroeconomic indicators. Jack holds a bachelor degree in Finance and International Business from NYU Stern.
NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.
