I’m a New York–based data analyst and analytics consultant helping teams make better decisions from messy, real-world data.

My work sits at the intersection of analytics and marketing, supporting clients across SaaS, real estate, hospitality, and professional services. I lead projects end-to-end — from pulling and cleaning raw data (POS systems, marketing platforms, web analytics) to building dashboards, running regression models, and translating results into clear, business-ready recommendations.

I work primarily in Python, SQL, and Tableau, using data to inform pricing strategy, demand forecasting, and campaign performance across SEO, paid media, and lifecycle channels.

Before moving fully into analytics, I trained in law — a background that shapes how I approach data: structured thinking, attention to detail, and a bias toward evidence-based decision-making. Combined with client-facing experience, this allows me to communicate complex findings clearly to both technical and non-technical stakeholders.

Fluent in English and Spanish, I’m comfortable working directly with leadership teams and turning analysis into actionable decisions.