About

Harsh Gupta is a skilled Data Scientist with expertise in Machine Learning, Computer Vision, and Artificial Intelligence. He is currently working at Fujifilm Corporation in Japan, where he is part of the AI team of the Medical Systems group. Harsh's research is focused on using ML, deep learning, and computer vision for medical imaging diagnostics. He has a strong background in Research Science, having worked on various projects that require analytical and critical thinking skills. Before joining Fujifilm, Harsh worked as an Android Developer at Zomato, where he was selected among 8 candidates to spend a week working at Zomato HQ. He developed an android client for Reddit, implemented Reddit OAuth, and consumed various APIs using Retrofit 2.0. He also worked as a Machine Learning Engineer Intern at Tokyo Gas Co. Ltd, where he worked on an image dataset of over half a million images. He built CNN models (ResNet and VGG19) with Keras and trained them on GPU, achieving an accuracy of 99%. Harsh holds a Bachelor's degree from the Indian Institute of Technology, Roorkee, where he studied from 2015 to 2019. He also attended Darbari Lal D.A.V Model School. Harsh's tech stack includes Research Scientist, Data Scientist, Android, ML, Computer Vision, AI, Deep Learning, ResNet, Keras, and CNN. He has 3.94 years of relevant experience, and his skills and experience make him a valuable asset to any team.