Daniel Galtieri

Daniel Galtieri has a diverse work experience, ranging from academia to various roles in the analytics field. Daniel started their career as an Undergraduate Researcher at the University of Connecticut, where they assisted in planning and implementing experiments related to Parkinson's disease. This experience led to authorship on scientific papers and posters.

Following their undergraduate studies, Daniel pursued a graduate degree at Northwestern University, working as a Graduate Student from 2010 to 2017. During this time, they honed their research skills and likely gained knowledge in their chosen field.

In 2017, Daniel joined Gallagher Bassett as an Associate in Analytics and progressed to become a Senior Associate and later a Senior Data Scientist. These roles allowed him to utilize their analytical skills and contribute to data-driven decision-making processes.

In 2020, Daniel transitioned to Marsh, a global insurance brokerage company, as a Senior Claims Analytics Consultant. Daniel then advanced to the position of Vice President - Analytics Solutions, where they likely played a key role in developing analytics solutions for the company.

Currently, Daniel is the Director of Advanced Analytics at MedRisk, a position they started in November 2022. As the Director, they are responsible for overseeing advanced analytics initiatives and leveraging data to provide strategic insights for the company.

Overall, Daniel's work experience showcases their expertise in analytics, research, and leadership roles, making him a valuable asset in any organization seeking data-driven solutions.

Daniel Galtieri pursued their education from 2006 to 2010 at the University of Connecticut, where they obtained a Bachelor of Science (BS) degree in Physiology & Neurobiology and Psychology. Daniel then went on to attend Northwestern University from 2010 to 2017, where they completed their Doctor of Philosophy (PhD) in Neuroscience. Alongside their formal education, Daniel also obtained additional certifications, including a Natural Language Processing Specialization from Coursera, which they achieved in October 2020. Daniel also holds a certification in Machine Learning from Coursera Course Certificates, although the specific dates of completion are not provided.