Data & Analytics

The measurement side of enablement: hands-on experience turning data into clear, decision-ready reporting with SQL, Power BI, and Python—the same skills that show whether an adoption program is actually working. Each project links to its full code on GitHub.

SQLPower BI

Content Channel Analytics

An impressions-weighted before/after model that measured click-through performance around a creative redesign, reported in rates only.

View on GitHub

SQL

Email Marketing Analytics

Fourteen business-question SQL queries that turn engagement logs into deliverability, re-engagement, and list-health recommendations.

View on GitHub

Python

Excel Pivot Engine

A command-line tool that turns a raw campaign CSV into a formatted, multi-sheet Excel report: ROAS by channel, conversion by segment, monthly trend, and a KPI summary.

View on GitHub

Python

Data Quality Toolkit

A command-line tool that audits any CSV for null rates, duplicate keys, type inconsistencies, and out-of-range values, returning a fit-for-analysis verdict.

View on GitHub

Power BIIn progress

Healthcare Quality Dashboard

Public CMS hospital-quality data cleaned and modeled, with insights on rating coverage and geography.

View on GitHub

These are selected projects. The full repository, with all five projects and a skills breakdown across SQL, Power BI, Python, Excel, and Google Analytics, is on GitHub.