About

Mukur Gupta is an accomplished data scientist with a strong background in machine learning and artificial intelligence. Currently working as an Associate Data Scientist at Gartner, he is responsible for developing and implementing data-driven solutions to help businesses make informed decisions. Mukur's expertise lies in building predictive models, sentiment analysis, and developing recommendation systems. He is well-versed in tech stacks like SQL, AWS, BERT, TensorFlow, Pytorch, and Flask. He has experience working with web3, blockchain, NFT, and Dapp technologies. Before joining Gartner, Mukur worked as a LEADIT Associate in Data Science and Automation at Gartner, where he developed and implemented data-driven solutions to automate business processes. He also worked as a Machine Learning Intern at Hike, where he developed a training sequence optimization algorithm for curriculum strategy generation. Mukur has a Bachelor of Technology degree from IIT Kharagpur, where he specialized in mobile computing and information retrieval. He has also completed an International General Certificate of Secondary Education from India International School, Jaipur. Mukur is a skilled researcher and has published a research paper on training sequence optimization. He is a versatile professional with experience in parts-of-speech tagging, sentiment analysis, and image recognition using OpenCV. He is also proficient in Docker, ML, and NLP. With over two years of relevant experience, Mukur has proven himself as a talented data scientist with a passion for developing innovative solutions. His strong technical skills, research skills, and experience in software engineering make him a valuable asset to any organization.