Nicholas Parmigiano Data Analyst
Statistics · UF ’26

Open to Data Analyst, Legal Ops & Compliance roles: South Florida or remote

Work / Independent / 2026

Creator Growth Pipeline Building now

Gaming creator sponsorships · automated daily data pipeline

A gaming brand sponsors 10 mid-tier creators a quarter. Which ones grow fastest and engage best for the money? An automated pipeline collects the data every day to answer it.

Headline
28+days of daily data before the analysis starts
Stack
YouTube APIGitHub ActionsdbtDuckDBStreamlit
DAILY EXTRACT DBT MODELS SCORING A/B TEST APP0/5 STEPS DONE
Build plan

The question

Sponsorship money goes to creators based on vibes and subscriber counts. Growth rate and engagement per dollar are better signals.

Plan

A GitHub Action pulls YouTube data daily into DuckDB. dbt models turn it into growth and engagement metrics, and a Streamlit app ranks creators. Includes analysis of a real A/B test and the design of a new one.

Status

Building in public. The daily extract goes first so the data has time to accumulate.

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