About

Shubham Agrawal is a Lead Software Engineer with over 5 years of relevant experience in the field of Machine Learning and Natural Language Processing. He is a skilled Data Scientist with a strong background in NLP and hands-on experience in developing machine learning and deep learning models. Shubham has expertise in various areas of NLP including Topic Modelling, Text Summarization, and Text Classification. He has also worked with pre-built deep learning models such as Elmo, Bert, and Transformer. Currently, Shubham is working as a Lead Software Engineer at Calpion, where he is responsible for developing and maintaining software solutions using his extensive knowledge of ML and deep learning. Prior to this, he worked at American Express as a Data Scientist in Fraud Decision Science. Here, he developed machine learning models to assess the risk of different types of events for global clients. His work resulted in saving thousands of dollars for clients by capturing fraudsters much before payment. Shubham also has experience working as a Research Scientist in Computer Vision and ML at Animaker. He has a Bachelor's degree in Materials Engineering from IIT, where he graduated in 2017. Shubham's technical skills include Software Engineering, Senior Software Engineering, Research Scientist, ML, Deep Learning, Data Scientist, BERT, Text Classification, NLP, and Computer Vision. He is a highly motivated individual with a passion for using his technical skills to solve complex problems.