In my professional experience as a data scientist, I have worked across various projects and business lines to solution, develop and deploy real-time and offline ML/DL models that have had a significant impact on business and end-user experience. My work at Swiggy includes building - - ML/DL based Learning-to-rank models for search and homepage ads recommendations, - cross-domain recommender systems, - solving cold-start problems through RL-based contextual multi-armed bandits algorithms, - ROI forecasting in Ads platforms, - Push notifications optimisation algorithms, along with supporting several product use cases which required DS. Before this, I worked at ZS Associates where I developed an end-to-end auto ML tool for feature generation and selection on any kind of longitudinal data for a classification/regression task. I also delivered several high impact client projects by building ML models. Specifically, I worked on ensemble models, PU learning and sequence models. I hold a Bachelor's Degree in Computer Science and Engineering with specialization in AI/ML from IIIT Sri City, and have a strong background in engineering.