New York, New York, United States
15 years of experience across data strategy, language analytics, and public policy. Firmly interdisciplinary. I’m passionate about collaborative sensemaking and communication in all its forms. I help organizations bring structure, trust, and analytical clarity to complex data environments. My work sits at the intersection of data governance, semantic modeling, analytics engineering, and applied NLP. In enterprise and public sector environments, I’ve led initiatives involving text and speech analytics, data architecture, and reporting workflows that translate data noise into clear priorities. I’m energized by structural problems: defining meaning, aligning upstream inputs with downstream metrics, and designing flexible frameworks that enable rigorous macro-level insights. My background in Linguistics, Psychology, Business, and Public Policy inform a practical approach to language, data integrity, and institutional decision-making.
- Lead design and delivery of text and speech analytics programs for public sector clients - Define data structures for unstructured feedback, including metadata mapping and taxonomy alignment - Configure topic modeling and classification approaches based on domain and data characteristics - Translate raw qualitative inputs into structured datasets used for executive reporting and dashboards - Partner with implementation and product teams to ensure data integration supports downstream analytics use cases - Ensure consistency and interpretability of insights across large-scale, multi-source feedback systems
- Managed DARPA-funded AI/ML and NLP research and product development programs - Coordinated engineering, research, and product teams to deliver applied voice and language analytics systems - Supported development of prototype models and transition of research outputs into operational tools - Assisted in building data pipelines and evaluation frameworks for speech and language models - Oversaw project timelines, deliverables, and cross-functional execution across R&D initiatives
- Led planning and execution of major urban redevelopment initiatives, including Penn Station / Moynihan Train Hall - Coordinated across state agencies, private developers, and civic stakeholders to align project objectives - Translated policy goals into structured development plans and implementation pathways - Managed multi-stakeholder processes involving land use, infrastructure, and economic development priorities - Supported long-range planning decisions for high-impact public infrastructure projects
- Managed the activation of historic food markets, parks, armories, industrial waterfronts, and other public-owned spaces based on NYC's economic development priorities.