Head Of Data Science Practice
Managed the Data Science team. Developed and maintained machine learning systems to automate metadata curation, with a focus on matching and enriching entertainment data in more than 100 languages. Leveraged natural language processing (NLP), computer vision, and large language models (LLMs) to handle the complexity and diversity of multilingual datasets at scale.Oversaw the Data & ML Engineering team through their reporting manager. The team focuses on the deployment, monitoring, and optimization of machine learning models and automated systems, ensuring robust performance and reliability in production environments.Oversaw the Content Architecture (Ontology / Taxonomy) team through their reporting manager. The team focuses on capturing the essence of entertainment entities beyond basic genre and setting, defining and organizing richer attributes that reflect deeper narrative and thematic elements.Drove strategic alignment across leadership, engineering, and UX teams to enhance existing tools for current and future Machine Learning capabilities. Underscored the importance of data quality standards and preserving work products to fuel future accelerated and automated workflows.Researched and produced high level designs of ML based solutions for new business opportunities and the acceleration and/or automation of existing metadata editorial processes.
