Aditya Shah is a Senior Data Scientist with proven expertise in developing and deploying advanced AI systems. His experience includes optimizing media buying through CPC/CPM techniques and building graph-based recommendation systems. He has a strong background in multimodal emotion recognition, object detection, and utilizing generative AI models for various commercial applications.
Experience
Senior Data Scientist
Infomo Global Limited
Developed and maintained an AI system for real-time media buying, leveraging CPC and CPM optimization techniques, resulting in an average 30% increase in bid wins. Spearheaded the development of an AI system at a supply-side platform that dynamically adjusts bid floors. Implemented a robust pipeline for drift check and model retraining. Developed and deployed a graph-based recommendation system. Utilized user's browsing history to develop a clustering model. Formulated and implemented a market mix model. Innovated a creative generation system using a stable diffusion model and applied advanced content generation techniques using the llama model. Developed a multimodal model for emotion recognition using audio, video, and EEG signals. Developed and deployed an object detection model within ArcGIS to identify transmission towers and windmills. Assisted in weather simulations using NCAR models. Developed a constrained-based Linear Programming model for electricity demand forecasting. Utilized ensemble techniques for short-term electricity load forecasting.
Doctoral Research Fellow
University of Petroleum and Energy Studies
Senior Data Analyst
Genesis Ray Energy Pte ltd
Education
University of Petroleum and Energy Studies (UPES)
Doctor of Philosophy - PhD
Affective computing
Part Time
Defense Institute of Advanced Technology (DIAT), DU, DRDO
Master of Technology (M.Tech.)
Modelling & Simulation
Tulas Institute of Technology
Bachelor of Technology (B.Tech)
Computer Science & Engineering