I am an aspiring full stack data scientist, currently pursuing masters in AIML from Symbiosis Institute of Technology. My areas of interest include machine learning, deep learning, explainable AI, predictive maintenance, healthcare diagnosis, medical image analysis and automated AI workflows. Ive done my research internship in Symbiosis Center for Medical Image Analysis, Symbiosis Center for Applied Artificial Intelligence and industry internship from Capegemini. I've been the student research head for the center of excellence in medical imaging, a research foundation at the Department of biomedical engineering in REC. I've worked with deep learning based applications in medical imaging for the development of automated diagnostic systems.
[!ORCID]
- Integrated system for detection of diabetes using deep learning
- Integrated deep learning framework for breast cancer diagnosis using medical imaging
- Emotion detection through speech
- Audio classification
- PolyEffNetV1: A CNN based colorectal polyp detection in colonoscopy images
- VOLUME 1: KNEE OSTEOARTHRITIS: Descriptive analysis on the degenerative knee joint disease
- Automated Classification of Gastrointestinal Abnormalities using Convolutional Neural Networks
- GastroEffNetV1- CNN based Automated detection of Gastrointestinal abnormalities from capsule endoscopy images
- [Integrated system for detection of diabetes using deep learning (proceeding of international conference on artificial intelligence, 5g and network technologies)]
- [Integrated deep learning framework for breast cancer diagnosis using medical imaging (proceeding of international conference on artificial intelligence, 5g and network technologies)]
- feature selection 101-advanced techniques for machine learning optimization
- feature selection 101-all you need to know about features
- feature selection 101-filter selection techniques
- feature selection 101-filter selection techniques-part 2
- feature selection-101-wrapper selection techniques
- A.I made understandable-introduction to the magic technology
- Wondrous scope of emerging technology artificial intelligence in medicine
- Facts about expert systems, CAD and CMD you need to know