Equipped with strong problem-solving abilities, willingness to learn, and excellent communication skills. Poised to contribute to team success and achieve positive results. Ready to tackle new challenges and advance organizational objectives with dedication and enthusiasm.
Developed probabilistic models for automatic test case detection from ADAS time series data, applied clustering techniques to identify driver behavior patterns, and used SATLITE tool for aLDW intervention data analysis.
Developed and evaluated a variational U-Net deep learning model for forest fire detection and segmentation using Sentinel 1/2 RGB images, improving evaluation metrics. Conducted comparative analysis of U-Net variations for active fire and burned area detection, applying normalization filters and data augmentation.
Client and stakeholder management, Market Analysis and Trends, New business development.
Mathematics
Captain of IIEST university cricket team, Vice-Captain of IIEST University basketball team, Represented IIEST university football team, Part time guitarist