About

Rishabh Saraf is an experienced Data Scientist with a background in Mathematics and Computing. He holds an Integrated Master of Technology degree from the Indian Institute of Technology Dhanbad, where he graduated with an impressive overall GPA of 9.19/10. Rishabh is currently working as a Data Scientist II at Rakuten Institute of Technology, where he applies his expertise in AI, ML, and Microservices to solve complex data-related problems. Rishabh's professional experience includes working as a Research Intern (Remote) at the National University of Singapore, where he continued his internship work from the previous year. During his time there, he applied various video segmentation SOTA models to caption-labeled procedural video datasets, which resulted in a research paper that can be found at https://arxiv.org/pdf/2106.03158.pdf. Rishabh has also worked as a Data Science Intern at IBM India Software Labs, where he developed and deployed product-ready statistical and machine learning algorithms for pair analysis micro-services that were integrated with IBM Infosphere Master Data Management (MDM). Rishabh's technical skills include Research Scientist, Data Scientist, AI, ML, and Microservices. He has relevant experience of 3.11 years in the field of Data Science, during which he has co-authored two US patent applications. Rishabh is a highly motivated individual who is always eager to learn and stay up-to-date with the latest technologies and trends in his field. His ability to work collaboratively and his strong problem-solving skills make him a valuable asset to any team.