Sneha Sinha

Core responsibilities include real time classification and analysis of Human Pose for fitness, Sports and Healthcare Domain on edge devices. Deep analysis of pose to provide metrics and feedback to end user utilizing traditional statistical approaches to deep learning based approaches. My role also included providing solutions for optimizing the approach, trying out new ideas and solutions to keep us ahead with the evolving changes in the domain. Working with Active learning, Sequence embedding, GCN

Core responsibilities include proposing, designing and implementing Computer Vision & Machine Learning solutions for smart navigation systems for the automotive industry. Working on Surround View Visualization System rendering verification using computer vision (traditional and deep learning)Actively working towards developing multiple algorithms for verifying and enhancing Surround view systems rendered data. Patent for Ego car shadow removal, Fish eye image quality enhancement

Part of the core team responsible for delivering predictive analysis on warranty claims for major manufacturing clients. The main contributions include a highly scalable and robust feature recommendation engine for claim processing. Predictive Modelling for warrant claims prediction, engine failure prediction and claim processing automation. Worked with time series forecasting, predictive modelling and end to end deployment of model to production

Part of IoT research team, worked on Computer Vision and NLP based machine learning solutions. Worked on different proof of concepts like smart campus, efficient log management for Intel, Industrial IoT