Hi! I’m Dani, a Data Scientist based in New York City.

I turn messy, real-world data into clear, decision-ready insights for product and operations teams.

My work usually looks like:

  • Digging into large, complex datasets with SQL + Python to answer open-ended product and ops questions

  • Building forecasts and models for sales, revenue, and program performance

  • Designing self-serve dashboards and reporting in Tableau that track program health, program attach rate, and revenue

  • Translating data insights into clear, actionable recommendations and next steps for stakeholders

Outside of work, you can usually find me on a run, my road bike, or planning a trip.

If you’d like to work together or see how I think through problems, feel free to explore my portfolio or reach out directly.

Technical Skills

Programming Languages

  • SQL

  • Python

Data & Visualization Tools

  • Jupyter Notebooks

  • Excel & Google Sheets

  • Git & GitHub

  • Meta internal data tools (Daiquery / iData on Hive / Presto)

  • Tableau (Desktop & Public)

Analytics & Product Methods

  • Exploratory Data Analysis (EDA)

  • Forecasting & time-series trend modeling

  • Funnel & KPI analysis (CTR, CPA, revenue, attach rate)

  • Segmentation & cohort analysis

  • Opportunity sizing & business case modeling

  • Operational dashboards (program health, inventory)

  • S&OP-style planning