About

Ahsaas Bajaj is a highly skilled Data Scientist with expertise in Machine Learning, Natural Language Processing (NLP), Information Retrieval, and Deep Learning. Currently, he works at Walmart Labs with the Search and Personalization team, where he leverages his skills in ML to improve the team's search capabilities. He has also worked with Instabase Inc. as a Software Engineering Intern, where he applied ML and NLP techniques for document understanding and improved recall by 17% for the extraction of person and company names from client datasets of w2 forms and resumes. Ahsaas has a Master's degree in Computer Science from the University of Massachusetts Amherst, where he conducted research in the areas of NLP, Information Retrieval, and Deep Learning. He has submitted two research papers at the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) in association with the NLP Lab and Information Extraction and Synthesis Laboratory. Prior to his current role, Ahsaas worked as a Graduate Student Researcher at Goldman Sachs, where he collaborated with a team of four research scientists towards preserving critical facts in abstractive summarization. He built scalable abstractive summarization models that preserve critical facts in legal and financial documents and conceptualized a novel summarizer by leveraging pre-trained language models to build sentence-level classifiers. Ahsaas has a Bachelor's degree in Electronics and Communications Engineering from NSIT and completed his high school education from Rosary Senior Secondary School. He is proficient in a wide range of technologies, including Research Scientist, ML, Data Scientist, NLP, Search, Information Retrieval, language models, Deep Learning, BERT, Kubernetes, and infra. He has relevant experience of 3.70 years in the field of Data Science and is passionate about leveraging his skills to solve complex business problems.