About

Pradip Gupta is a highly skilled Computer Vision Tech Lead at Stats Perform with over 6 years of experience in developing successful production-level applications in the field of machine learning and computer vision. He has an established track record of delivering innovative solutions in domains such as machine vision, retail, banking, remote sensing and environmental science. Pradip has a strong foundation in fundamental scientific research and has contributed significantly to building solutions that have positively impacted businesses. Currently, Pradip is serving as a Senior Deep Learning Engineer at AstraZeneca, where he is responsible for developing and implementing deep learning models to solve complex problems in the pharmaceutical industry. Prior to this, he worked as a Computer Vision Engineer at Jio and as a Teaching Faculty for Data Science at Edvancer. Pradip holds a Master's degree in Earth System Technology from the Indian Institute of Technology, Kharagpur, and a Bachelor of Technology in Mechanical Engineering from SRM University. He has a diverse tech stack that includes deep learning, computer vision, Python, OpenCV, Docker, TensorFlow, PyTorch, ML, SVM, AI, object detection, image processing, Scikit, neural networks, MongoDB, search, Azure, and software engineering. With 7.20 years of relevant experience, Pradip has demonstrated his expertise in building successful applications and delivering solutions that meet business needs. He is a data scientist who is passionate about using technology to solve complex problems and drive business growth. His attention to detail, problem-solving skills, and ability to work collaboratively make him a valuable asset to any team.