Data & Analytics

Hands-on experience turning data into clear, decision-ready reporting, using SQL, Power BI, and Python. Each project links to its full code on GitHub.

SQLPower BI

Content Channel Analytics

An impressions-weighted before/after model that measured a roughly 96% lift in click-through rate after 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.