I am an enthusiastic learner, always on the look out for new opportunities!
CGPA 9.32 (till 6th semester)
PCMB - Science Stream with Biology
Proposed an Edge Information Module to improve prediction accuracy and reduce erroneous predictions near boundary regions. Achieved overall accuracy of 90.2% and a significant improvement in the per-class F1 score of cars.
Worked on Domain Adaptation to Improve Domain specific NER performance in a low resource setting. Proposed two models which have outperformed the current state of the art for low resource domain specific NER.
Through a series of weekly mentorship sessions, we were extensively mentored about the challenges faced in the professional world and acquired new skills to pave a successful career.
Worked on Direct Estimation of Tracer Kinetic Parameters from the undersampled k-t space of DCE-MRI data for a non- linear Tracer Kinetic model, Etofts model.
One of the 6 women chosen from all over India for the Adobe Women in Technology Scholarship.
Selected for the prestigious MITACS GRI programme, 2021
Selected for Summer Research Fellowship Program (SRFP) 2020, Indian Academy of Sciences and completed a summer research intern at the Medical Imaging Lab, IISc Bangalore under Dr. Phaneendra Yalavarthy.
One of the 100 women selected from all over the world for the Micron Global Women's Mentorship Programme.
I am interested in Image Processing, Machine Learning, ANN, Deep Learning and in leveraging these technologies to solve real life problems.