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