London, England, United Kingdom
Endlessly optimistic, with a firm belief in the power of hard work to conjure 'luck'. Waking up today looking to learning something new, so I can do my part leading this world into a brighter tomorrow. As a Data Scientist, my experiences have led me to believe that I have chosen well, as no domain shows more promise in changing tomorrow’s world than Data Science. I am a graduate student, pursuing my M.Sc. in Data Science at Columbia University, New York and I excel at translating skills picked up in classrooms into practical, scalable solutions of value to the industry. Through my journey as a graduate student, I have taken up extensive coursework in Data Science, Machine Learning and Reinforcement Learning. I have also interned at one of the world's largest reinsurance firms, and have experience as a graduate research assistant and Subject Matter Expert for Data Science. I believe I am now ready to put this experience to good use and would love to be part of an ecosystem where I can learn and contribute in a positive way utilizing the skills I posses and acquire.
Performed market basket analysis of transaction data over 6 month time frame for multiple test-control groups in order to analyze change in consumer patterns, along with analytics and hypothesis testing
Carried out projects based on design and implementation of intelligent AI systems for the Automotive and Mobility Solutions wing of the P&C Analytics division at Swiss Re. Also developed a novel method for analysis of cyber-risk using Machine Learning for supplementing process of determination of cyber-insurance premiums. Led technical discussions with solutions vendors and presented analysis and evaluation reports.