About

Sumit Das is a Lead Machine Learning Engineer at Thomson Reuters with over 9.5 years of experience in the software industry, including 6 years in Data Sciences. He specializes in Machine Learning, NLP, Text Mining, Predictive Modelling, and Deep Learning, with a strong focus on leading machine learning projects from end-to-end to improve customer experience and drive business impact. At Thomson Reuters, Sumit has worked on the development of AI/ML frameworks for training and deploying ML models for Supply Chain and Warehouse Management. He has also implemented REST endpoints for online and offline prediction, offline model training, and designed and developed performance engineering testing frameworks for the AI/ML framework developed and deployed for different use-cases. Prior to Thomson Reuters, Sumit worked as a Principal Machine Learning Engineer at Manhattan Associates, where he developed AI/ML frameworks for training and deploying ML models for Supply Chain and Warehouse Management. He also implemented REST endpoints for online and offline prediction, offline model training, and designed and developed performance engineering testing frameworks for the AI/ML framework developed and deployed for different use-cases. Sumit has also worked as a Senior Research Engineer at Conduent, where he worked on various data science research problems, including social media content moderation, crime modeling, and email compliance violation detection in the medical domain using NLP rules. Sumit holds an MS in Computer Science & Engineering from the Indian Institute of Technology, Kharagpur, and a BE in Computer Science & Engineering from Jadavpur University. He is proficient in ML, AI, NLP, test, Deep Learning, Research Scientist, Python, Java, and Data Scientist. Sumit has over 11.28 years of relevant experience in the field of data science and machine learning.