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Henry Leonardi is a data scientist specializing in natural language processing (NLP) with a robust background in developing innovative solutions for diverse applications. Currently working at Evolent as a Data Scientist in NLP, Henry previously held roles as an NLP Engineer at Pinwheel, where text moderation models for children's conversations were developed, and as an NLP Intern at Kyndi, focusing on optimizing natural language search and automating synonym detection. Henry's experience also includes significant contributions to Holocron Technologies as an NLP Engineer, where advanced data analysis pipelines and multilingual vector search strategies were created. Academic achievements include a BA in Linguistics and a Minor in Computer Science from The Ohio State University, where research involved real-time dialogue systems and data augmentation techniques.