Daniel Crowley

Daniel Crowley has a diverse work experience in the field of data and AI. Daniel started their career at IBM as a Software Service Specialist in April 2016 and worked in that role until April 2017. Daniel then transitioned to the position of Data Scientist at Watson Health in April 2017 and continued in that role until June 2018. From June 2018 to April 2019, Daniel worked as a Sr. Data Scientist at Watson Health.

In November 2018, Daniel joined Southern Methodist University as an Instructor in Data Science and held this position until December 2020.

In March 2019, Daniel Crowley joined Steward Health Care as the Director of Strategic Analysis. Daniel worked in this role until March 2021.

Their most recent work experience is with Neudesic, where they started as a Principal Consultant in April 2021. Daniel then progressed to the role of Director of Data and AI in July 2022, and finally became the Regional Director of Data and AI in December 2022.

Overall, Daniel Crowley has a solid background in data and AI, with expertise in roles such as consultant, data scientist, and director.

Daniel Crowley has a Bachelor's Degree in Pre-Medicine/Pre-Medical Studies from Concordia University-Wisconsin. Daniel also holds a Master of Science degree in Data Science from Northwestern University. In terms of certifications, Daniel has obtained several certifications from Microsoft, including Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure Administrator Associate, Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Azure Data Scientist Associate, Microsoft Certified: Azure AI Fundamentals, and Microsoft Certified: Azure Fundamentals. Daniel has also obtained certifications from Profisee, including Profisee Master Data Architect, Profisee Master Data Developer, Profisee Master Data Steward, Profisee Master Data System Administrator, and Profisee Partner Consultant. Additionally, Daniel has completed partner training in Developer Foundations and Developer Essentials from Databricks.