Rijul Vohra
About Rijul Vohra
Rijul Vohra is a Knowledge Graph Engineer at Jefferies with a background in Applied Data Science and extensive experience in data strategy and research.
Professional Experience at Jefferies
Rijul Vohra is a Knowledge Graph Engineer at Jefferies, a position he has held since 2021 in the New York City Metropolitan Area. In his role, he focuses on developing and maintaining knowledge graphs, leveraging his expertise in ontology mapping and entity resolution. His work aids in structuring and interlinking diverse data sets to enhance information retrieval and decision-making processes within the organization.
Education and Expertise in Data Science
Rijul Vohra earned a Master's degree in Applied Data Science from the University of Southern California, where he studied from 2019 to 2021. Prior to this, he obtained a Bachelor of Technology in Electronic and Communications Engineering Technology from Thapar Institute of Engineering and Technology, where he studied from 2015 to 2019. His educational background has equipped him with a robust foundation in data analysis, machine learning, and large-scale data processing.
Research and Development at Information Sciences Institute
During his tenure as a Graduate Research Assistant at the Information Sciences Institute (2020-2021) in Los Angeles, California, Rijul Vohra developed an entity linking system that connects tables to a Knowledge Base. This system significantly enhances the ability to organize and utilize vast quantities of tabular data, making it a valuable tool in various research contexts.
Internships and Effect on Data Strategy
Rijul Vohra has held several internship positions that contributed to his expertise in data strategies. At Novartis, he worked as a Data Strategy Intern in 2020 in East Hanover, New Jersey, where he applied knowledge graphs to the FAIRification of biomedical data. Previously, he was an Intern at the Moscow Institute of Physics and Technology (MIPT) from 2018 to 2019, where he gained practical experience in data science applications.
Technical Skills and Personal Projects
Rijul Vohra possesses significant technical skills, including building large-scale Spark pipelines for data processing and creating linked data sources using RxNorm and Wikidata. He also maintains a personal webpage showcasing his projects and source code, which are available on GitHub. This platform serves as a testament to his ongoing commitment to sharing knowledge and advocating for the application of advanced data science techniques.