About

Daniel Bishop is a Lead Machine Learning Engineer (ML, NLP) at Interos Inc, with over 10 years of relevant experience in the field of data science and computational linguistics. He has a proven track record of success in leading and supporting the development and delivery of large-scale data science and natural language processing initiatives, as well as multi-million dollar product lines that drive business and revenue growth. Daniel has a deep understanding of linguistic insight into real-world communication issues and solutions. He is accomplished in improving processes to increase marketing performance, as well as end-user satisfaction and interaction. He is an expert in natural language processing pipelines, both bespoke and widely-utilized, and is well-versed in high-recall, high-precision tasks in specific domains as well as more flexible tasks in broader domains. Daniel is adept in aligning product capabilities quickly to customer and end-user experiences. He is fluent in English, with basic conversational skills in German, Italian, French, and Swahili. As a US citizen authorized to work in the United States, he has worked with companies such as Feedback Loop and AutomotiveMastermind Inc., where he led the development of a bespoke NLP pipeline and worked on major NLP and Machine Learning initiatives around one of their core features. Daniel holds a Master's degree in Computational Linguistics from Indiana University and a Bachelor's degree in Linguistics from the University of Florida. He has a strong tech stack that includes ML, NLP, Data Scientist, product manager, Research Scientist, and infra. He is a data science and computational linguistics professional with product management and product ownership experience. He has helped determine data strategy for companies and pushed for better data warehousing practices within organizations. He has also led initiatives to surface actionable metrics across companies, including cost-saving and infrastructure-monitoring dashboards.