Ramchandra holds a bachelor’s degree in Electronics and Telecommunication from Mumbai University and recently completed an MSc in Mathematical Modelling at the University of Limerick. He has four years of work experience as a software developer in healthcare and the banking sector. Ramchandra is an adaptable, dynamic individual interested in the research of data science involving statistical methods and machine learning. In his leisure time, Ramchandra enjoys sketching portraits.

Thesis title: Deep learning for medical images with limited labelled data

12 week training placement: During my placement at Valeo, I have worked on self-supervised learning methods applied to pixel level images. DOI : 10.2352/EI.2022.34.16.AVM-147

Areas of interest: Machine learning, computer vision, medical data.

Professional links:
Google scholar: https://scholar.google.com/citations?user=p-AH8fgAAAAJ&hl=en&oi=sra
Linkedin : https://www.linkedin.com/in/ramchandra-cheke/
Twitter: https://twitter.com/ramchandracheke
Github: https://github.com/ramchandracheke