About

Ujwal Narayan is a computer science undergraduate at IIIT Hyderabad, with a passion for all things related to natural language processing (NLP). He is currently working as a data scientist at Klevu, where he has been enhancing search queries through catalogue enrichment by injecting knowledge gained from user reviews. He has also developed an unsupervised approach for domain-independent aspect extraction. As part of the data analytics team, he has visualized the relations between various search queries to deliver data-driven insights. Prior to his current role, Ujwal worked as a data science intern at Klevu, where he gained experience in enhancing search queries and developing unsupervised approaches for aspect extraction. He has also worked as a research associate at the Data Sciences and Analytics Center, where he applied NLP concepts in the financial domain. There, he developed an algorithm to computationally identify rules and regulations, extracted the entities involved in the rules, and developed a knowledge graph. Ujwal is well-versed in machine learning and has recently been dabbling in graph learning. He is a skilled software engineer and has experience working as a research scientist. He has a strong technical skill set that includes NLP, search, data science, and ML. Ujwal is a driven individual who is always looking for new opportunities to grow and make a meaningful impact on the world. He is currently seeking new opportunities to expand his knowledge and skills in the field of NLP and ML. With 1.19 years of relevant experience, Ujwal is a valuable asset to any team looking for a skilled and motivated data scientist.