About

Jennifer Pike is a Machine Learning Data Associate II at Amazon Alexa Data Services, where she supports exciting AI initiatives. With a focus on natural language understanding (NLU), speech data analysis, and understanding end-user intents through transcription, text annotation, and dialog evaluation, Jennifer is a highly skilled data scientist with over 14 years of relevant experience. Jennifer's professional journey started at Aerotek, where she provided transcription and annotation services for Amazon on various speech and language projects. She then joined Amazon as a Machine Learning Data Associate I, where she worked on the Applied Modeling and Data Science team, focusing on investigating customer experience related to machine language technologies and interactions. In this role, Jennifer transcribed and annotated high-priority deliverables, processed dialog evaluation deliverables, and delivered highly accurate data analysis and high throughput to meet the needs of various data customers. She also worked autonomously with minimal direction and maintained a quick understanding of changing conventions and workflow priorities. Currently, as a Machine Learning Data Associate II at Amazon Alexa Data Services, Jennifer continues to deliver exceptional results. Her role involves supporting exciting AI initiatives for Amazon Alexa devices, where she focuses on NLU, speech data analysis, and understanding end-user intents through transcription, text annotation, and dialog evaluation. She is a highly skilled data scientist with expertise in ML, NLU, AI, and other relevant technologies. Jennifer holds a Bachelor's degree in Visual Communications from Framingham State University and a High School degree in General Studies from Agawam High School. She is a highly motivated individual with excellent communication skills and a passion for delivering high-quality results.