My name is Swati Meena, and I am a Data scientist at Sprinklr. I have worked in the area of deep learning applications to the medical images specifically for breast cancer diagnosis and prognosis at MeDAL (Medical Deep Learning and Artificial Intelligence Lab). I have worked in the area with pathology images. I also have a keen interest in the field of Computer vision, and Natural language processing.
I maintain a list of my publications and research implementations under the Publications tab. To get an insight into my professional life so far, you can have a look at my [CV].
Updates
Present: Joined Sprinklr as a Data Scientist.
July 2020: Completed Masters in the Department of Electrical Engineering at IIT Bombay.
June 2020: Sucessfully completed Masters thesis project on ‘Pathological features discrimination in Lymph node using deep learning techniques’ at IIT Bombay in collaboration with Kings College London.
Dec 2019: A paper ‘Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning got accepted at The 5th IEEE WIECON-ECE conference, 2019 Paper Link. Congratulations to co-authors Abhijeet patil, Dipesh Tamboli, Deepak Anand and Amit Sethi.
Dec 2019: Best paper Award at the 5th IEEE WIECON-ECE conference, 2019.
Dec 2018: Presented on ‘Design and architecture of convolutional neural network’ in M.tech. Seminar at IIT Bombay.
July 2018: Joined IIT Bombay for Master’s in Electrical Engineering as a teaching assistant.
June 2017: Sucessfully completed Bachelor’s of technology from IIT(ISM) Dhanbad.