Arun Kadavankandy
About Arun Kadavankandy
Arun Kadavankandy is a Lead Data Scientist at AKUR8, specializing in AI applications for the insurance industry. He has a strong academic background and extensive experience in developing interpretable AI models for risk and causal modeling.
Current Role at AKUR8
Arun Kadavankandy serves as the Lead Data Scientist at AKUR8, a position he has held since 2020. In this role, he focuses on developing interpretable and explainable AI models tailored for risk and causal modeling within the insurance sector. His work aims to enhance transparency and understanding in insurance-related domains, contributing to the advancement of data-driven decision-making in the industry.
Previous Experience at Inria
Before joining AKUR8, Arun worked as a Doctoral Student at Inria from 2014 to 2017 in the Nice Area, France. During his three years at Inria, he engaged in research that likely contributed to his expertise in data science and AI applications. This experience laid the groundwork for his subsequent roles in the field.
Postdoctoral Research at Supelec
Arun Kadavankandy was a Postdoctoral Researcher at Supelec from 2017 to 2020 in the Paris Area, France. His work during this period involved furthering his research in data science and AI, building on the foundation established during his doctoral studies. This role helped him refine his skills and knowledge in applying AI techniques to complex problems.
Education and Expertise
Arun studied at the National Institute of Technology Calicut and later pursued a Master of Engineering (MEng) in Signal Processing at the Indian Institute of Science from 2009 to 2011. His educational background has equipped him with a strong foundation in engineering and data science, which he applies to his current focus on AI in the insurance sector.
Early Career at Broadcom
Before his academic pursuits, Arun worked as a Design Engineer Staff II at Broadcom from 2011 to 2013 in Bangalore. This role provided him with practical experience in engineering and technology, which contributed to his technical expertise in data science and AI applications.