About

Homesh Rawat is an experienced Data Scientist with over 3 years of applied Data Science experience. He has a strong skill set in various verticals of Data Science, including Machine Learning, Deep Learning, Natural Language Processing (NLP), and Distributed Computing. Homesh completed his Bachelor's degree in Computer Science and Engineering from the prestigious Indian Institute of Technology Delhi (IIT Delhi) in 2017. Homesh's core area of expertise is in NLP, and he has worked on numerous supervised and unsupervised problems, exploring several state-of-the-art Deep Learning architectures, including BERT, ELMO, and word2vec. He is proficient in tools such as Python, Keras, TensorFlow, Java, Apache Kafka, and Elasticsearch. Currently, Homesh is working as a Data Scientist II at ShareChat, where he continues to leverage his expertise in Data Science to drive business value. Prior to ShareChat, he worked at Netomi as a Data Scientist II and Data Scientist. Homesh has a strong educational background and has completed a Bachelor of Technology (BTech) degree in Computer Science and Engineering from IIT Delhi. He has also gained experience in various other technologies, including P2P, Software Engineering, Scikit, Pandas, Neural Networks, PHP, MySQL, Cassandra, Spring Boot, Spring, and Flask. Overall, Homesh has over 6.20 years of relevant experience as a Data Scientist and Research Scientist, making him a valuable asset to any team. He is passionate about leveraging his skills to solve complex problems and drive business value through data-driven insights.