I am a highly motivated, aspiring and dedicated integrated MSc Physics student eager to contribute theoretical knowledge and research skills to advance scientific understanding and innovation. Currently I am working on a project on enhancing the Seebeck coefficient of thermoelectric device with the help of machine learning. I have also done courses in Machine learning allowing me to posses all the basic knowledge regarding the subject and have done a project on 'Image segmentation of PDAC using Deep learning" which deepened my knowledge in image analysis of medical images using Deep Learning algorithms. Seeking an opportunity to engage in similar projects and collaborate with like-minded individuals to make a meaningful impact in the field of physics and machine learning. I have got necessary STEM skills required to climb up in my field of expertise and also a strong base in the programming language, Python. I have also got an above average experience in working with MS Office (self taught).