I build analytics systems, dashboards, and AI-powered tools that help people actually understand what they're looking at and make better decisions because of it. The technology changes. The question stays the same:
how does information become understanding?
AI doesn't work without well-structured data. I build the foundations that make intelligent systems possible: clean pipelines, clear schemas, and thoughtful architecture.
The best AI doesn't remove humans from the loop. It gives them sharper instincts, faster answers, and more time for the work that requires judgment.
Every dashboard, app, and system I build starts with the same question: what does the person on the other side need to feel, know, and do next?

A full-stack application integrating LLM intelligence with a structured GraphRAG data backbone. Everything in Noemata is a node. Notes, tasks, projects, people, concepts: all connected in a living knowledge graph that an AI layer traverses, links, and makes sense of for you.

Built as a passion project, Sound & Feeling maps audio features (valence, energy, danceability, acousticness, instrumentalness) across Beach House's complete studio discography (2006–2022) to reveal the emotional architecture of their music. Audio features are sourced from Spotify's audio analysis methodology.

Presented alongside Slalom consulting colleagues in a webinar on how visual analytics power pharmaceutical launch strategy. Our team designed a suite of Tableau dashboards that enabled cross-functional teams to track and act on critical data during the high-stakes post-FDA-approval window, turning complex launch metrics into clear, actionable reporting. The session covered best practices in combining data, design, and strategy to build analytics solutions for life sciences organizations.
Evolved from building dashboards to designing the data foundations that power AI tools. Building full-stack applications with LLM integration, MCP architecture, and conversational interfaces — while still grounding everything in clean data and human-centered design.
As an Insights Analyst at Meta, I partner across the People organization to deliver actionable analytics that inform strategy and elevate the employee experience. My work spans Tableau and Salesforce dashboard development, service operations analysis, and product journey analytics - all focused on democratizing data access and surfacing friction points that matter. I also collaborate with Data Science and Engineering on GenAI/ML solutions for HR workflows, and design the KPIs that track organizational health and operational efficiency.
As a Senior Data & Analytics consultant, I specialized in visual analytics, bringing a human-centered design thinking approach to designing and developing intuitive dashboard experiences primarily in Tableau and Power BI. I gained experience in both leading and contributing to user-centric analytics solutions across Healthcare, Insurance, Financial Services, and Technology clients.

I'm a data analyst turned AI-native builder based in Connecticut. My career started in business intelligence and analytics: Tableau, SQL, the craft of making complex data legible to busy humans.
But the field evolved, and so did I. Today I work at the intersection of data foundations, AI tooling, and information experience design. I build full-stack applications with LLM integration, design data architectures that make AI systems smarter, and still obsess over the same question I started with: how does information become understanding?
I believe AI is the most powerful analytical tool we've ever had, and that it only works when humans stay in the center of the design. The data has to be structured with intention. The interface has to respect the person using it. The intelligence has to augment judgment, not replace it.
Every tool I build asks the same question: how do people experience information, and how does that shape what they feel, think, and do?
Whether you're hiring, exploring AI-powered analytics, or just want to talk about how data and AI can work better for humans, I'd love to hear from you.