Seasoned Actuarial Professional with over a decade of experience in insurance and data analytics. Proven leadership in strategic planning and product development, complemented by strong technical skills in SQL, SAS, Python, and Machine Learning. Independently developed proficiency in Reinforcement Learning, reflecting a commitment to continuous skill enhancement. Known for effective stakeholder management and solution-oriented approach. Eager to apply these skills as an Actuary to foster data-driven decision making and robust risk management.
Python, NodeJs, AWS, Tensorflow
Independently picked up the theory and working knowledge of Deep Reinforcement learning (primarily focusing on Deep Deterministic Policy Gradient algorithm and its implementations in finance and insurance). The project started off as a hobby and I currently have a working model that uses reinforcement learning to arrive at insurance rates, which can be used as a parallel to GLM pricing. Much of my work exists in a private repository and can be shared on demand.