Rahul Kadam
About Rahul Kadam
Rahul Kadam is a Principal Data Scientist specializing in Data Science and Applied AI at AXA XL, with a strong background in data visualization and analytics. He has extensive experience in various roles at Accenture Analytics and holds a Bachelor of Engineering degree from the University of Mumbai.
Work at AXA XL
Currently, Rahul Kadam serves as Principal Data Scientist in the Data Science and Applied AI division at AXA XL. He has held this position since 2020, contributing to the development and implementation of data-driven solutions in Hartford, Connecticut. His role involves leveraging advanced data science techniques to enhance business processes and analytics capabilities within the organization.
Previous Experience at Accenture Analytics
Rahul Kadam has extensive experience at Accenture Analytics, where he worked in various capacities from 2007 to 2020. He began as a Business Intelligence Report Developer in Mumbai, India, for two years. He then transitioned to roles as a Business Analytics/Data Visualization Designer from 2010 to 2015 in Hartford, Connecticut, and later as a Business Analytics/Data Visualization Architect from 2015 to 2020 in London, England. His work focused on data visualization and analytics solutions.
Education and Expertise
Rahul Kadam earned a Bachelor of Engineering (B.E.) degree in Electrical, Electronics, and Communications Engineering from the University of Mumbai, completing his studies from 2003 to 2007. His educational background provides a strong foundation for his expertise in data science and applied AI, particularly in data visualization and analytics.
Data Visualization Skills
Rahul Kadam possesses a strong background in prototyping and graphic design specifically for data visualization projects. He has a keen eye for data visualization, utilizing tools such as Qlikview, Cognos, Tableau, and D3.js. His skills enable him to create effective visual representations of complex data, facilitating better decision-making processes.
AI Applications and Architecture Leadership
In his current role and previous positions, Rahul has led initiatives such as the implementation of a scalable Last Mile architecture for enterprise analytics, focusing on stability and performance. He also possesses expertise in using the Microsoft Bot Framework for AI applications, showcasing his ability to integrate AI solutions into business processes.