About

Rishav Sahay is an accomplished Applied Scientist at Amazon with over 5 years of relevant experience in the field of Natural Language Processing (NLP), Machine Learning, Deep Learning, and AI. He is a Bachelor's degree holder in Electrical, Electronics and Communications Engineering from IIT Dhanbad. Prior to joining Amazon, Rishav worked as a Data Scientist at 24/7.ai where he built conversational models in Tensorflow using Deep Learning state-of-the-art techniques. He also worked on time series data for hourly and daily forecasting and came up with various algorithms based on Naive Bayes, Jaccard Similarity, etc. to validate compliance of agent sentences. He deployed tensorflow models in the Tensorflow serving environment. Rishav also worked as a Data Scientist at Burning Glass Technologies, a Data analytics company that bridges the gap between job seekers and job recruiters. There, he worked on AWS Sagemaker, which is an End-to-End Machine Learning Pipeline. He classified web pages into posting and non-posting using Multi-Class, NLP, AWS Sagemaker, and Deep Learning. He also parsed job resumes/postings into defined numbers of fields using Deep Learning (Sequence Tagging, Name Entity Recognition, Text Segmentation, BiLSTM, AWS Sagemaker). Apart from his work experience, Rishav has excellent problem-solving skills and the ability to write time/space efficient programs using Data structures and Algorithms. He is proficient in various tech stacks such as Research Scientist, NLP, Tensorflow, AWS, Data Scientist, Deep Learning, ML, AI, Keras, Reinforcement Learning, Supervised Learning, Naive Bayes, Python, Pytorch, Sagemaker, and Web. In summary, Rishav Sahay is a highly skilled Applied Scientist with a wealth of experience in NLP, Machine Learning, and Deep Learning. He is a quick learner and always eager to take on new challenges. He is a valuable asset to any organization and is committed to delivering results that exceed expectations.