Transforming Insurance through Machine Learning
Machine Learning and AI is playing crucial in transforming traditional insurers. It is helping insurers to deliver high value to its customers by simplifying products, standardizing underwriting, designing on-demand pricing solutions (telematics), and identifying fraudulent claims etc. In the presentation, I would share application of machine learning in insurance, insights about dealing with finance data , feature engineering and highlight the usability of machine learning models on real business problems.
Siddhant is an analytics professional working as a Data Scientist at AXA Data Innovation Lab, Singapore. His current role involves executing data science projects to support AXA entities in sales and marketing activities such as opportunity sizing, cross-sell and up-sell, product recommendations, quantifying risk, retention and fraud using advanced machine learning techniques. Previously, at ZS Associates, he consulted many Fortune 500 pharmaceutical clients in devising sales and marketing strategies to improve brand positioning in the market using data analytics. He holds a Bachelors of Engineering (Hons.) in Electrical and Electronics from BITS Pilani, India and MSc in Business Analytics from National University of Singapore.