Designed models in primarily the liquidity space. This involves working with a plethora of models, to calculate the contingency liquidity fund requirement, optimisation of liquidity movement to manage the payment obligations in an efficient way as well as to carve out the impact of each business to the firm’s risk appetite to better estimate their PnL.

I am part of the Liquidity Management Strats team. I build models to better manage, estimate and explain the Liquidity Requirements of the firm and the various risks associated with it. I work closely with the various businesses to better understand the impact of the aspects of their activities and include them in the model. I use languages like Python and firm proprietary Slang to code the models, while using PySpark for handling the big datasets.

I work in the Artifical Intelligence Team of the group. My work mainly consists of Perception using computer vision, deep learning utilizing cameras and LIDAR sensors. I have worked on the Eklavya bot which we used in the Intelligent Ground Vehicle Competition 2018 held in Michigan where we were the first runners up. I am working on the Mahindra E20 under the Mahindra Rise Prize competition aiming to make the first autonomous car for the Indian road Conditions. My work has mainly consisted of… Show more I work in the Artifical Intelligence Team of the group. My work mainly consists of Perception using computer vision, deep learning utilizing cameras and LIDAR sensors. I have worked on the Eklavya bot which we used in the Intelligent Ground Vehicle Competition 2018 held in Michigan where we were the first runners up. I am working on the Mahindra E20 under the Mahindra Rise Prize competition aiming to make the first autonomous car for the Indian road Conditions. My work has mainly consisted of developing efficient approaches for robust perception of the car's environment and helping it in its maneuver. My field of work involves extensive applications of Deep Learning, Reinforcement Learning, search algorithms and Computer Vision. Show less