About

Rohit Raj is a highly skilled Lead Data Scientist with over 7 years of relevant experience in the field. He currently works at Goibibo, where he collaborates on data science training and leads the development of innovative solutions for the supply side of the hotel business. Rohit has a strong academic background, having completed an MSc in Data Analytics with a focus on Machine Learning and AI from Shiv Nadar University. He also holds a Bachelor's degree in Electronics and Telecommunications Engineering from Mahatma Gandhi Missions CoET and completed his schooling in Science from D.A.V Public School in Aurangabad. Rohit's expertise lies in developing recommend-er systems and natural language processing (NLP), and he has a deep understanding of Python, ML, Spark, Elastic Search, Databricks, AI, Scikit, SQL, Search, Keras, Data Engineering, Deep Learning, Big Data, Cassandra, and Azure. During his time at Goibibo, Rohit has been involved in several key projects, including the development of a deduplication engine to identify duplicate hotels and rooms in a multi-supplier environment, a competition recommendation engine powered by machine learning, and a quality score system to maintain rate, inventory, and promotion parity for hoteliers. Prior to his current role, Rohit worked as a Senior Data Scientist at Goibibo and as a Data Science Mentor at Great Learning. He has a proven track record of delivering high-quality work and collaborating effectively with cross-functional teams. In summary, Rohit Raj is a highly skilled Lead Data Scientist with expertise in recommend-er systems and NLP. He has a strong academic background and deep technical knowledge in Python, ML, Spark, Elastic Search, Databricks, AI, Scikit, SQL, Search, Keras, Data Engineering, Deep Learning, Big Data, Cassandra, and Azure. His work at Goibibo has been instrumental in developing innovative solutions for the hotel business, and he has a proven track record of delivering high-quality work and collaborating effectively with cross-functional teams.