Divyanshu Suri
About Divyanshu Suri
Divyanshu Suri is a Senior Lead Machine Learning Scientist at AXA XL, with extensive experience in machine learning techniques and project management. He has held various roles in prominent organizations and has a strong academic background in statistics and applied statistics.
Current Role at AXA XL
Divyanshu Suri currently serves as a Senior Lead Machine Learning Scientist at AXA XL, a position he has held since 2024. His role is based in Gurugram, Haryana, India. In this capacity, he utilizes his expertise in advanced machine learning techniques to drive innovative solutions within the organization.
Previous Experience at AXA XL
Prior to his current role, Divyanshu worked at AXA XL as a Senior Manager - Machine Learning from 2018 to 2021 and as a Lead Machine Learning Scientist | AVP from 2021 to 2024. During his tenure, he contributed significantly to various machine learning projects, demonstrating his leadership and technical skills.
Educational Background
Divyanshu Suri completed his Bachelor of Science (BSc) in Statistics at Delhi University from 2004 to 2007. He further pursued a Master of Science (MS) in Applied Statistics at the Indian Institute of Technology, Bombay, from 2007 to 2009. His educational background has provided a strong foundation for his career in machine learning and data science.
Career History
Divyanshu has a diverse career history that includes roles at various organizations. He worked at Inductis as a Senior Programmer Analyst and later as an Assistant Manager. He also held positions at Fractal Analytics as Associate Director and at XL Catlin as Manager - Predictive Modeler. His experience spans multiple aspects of data science and predictive modeling.
Expertise in Machine Learning
Divyanshu possesses extensive expertise in advanced machine learning techniques, including Gradient Boosting Machines (GBM) and Artificial Neural Networks (ANN). His proficiency is further highlighted by his recognition as a Competitions Master on Kaggle, reflecting his success in data science competitions and his ability to apply complex algorithms effectively.