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An end-to-end SQL and Tableau analysis of an e-commerce customer journey: from raw session data to a validated funnel, a rigorous A/B test, and a channel performance review.

Using Python (Pandas, Matplotlib, Seaborn), I outline a marketing strategy to boost campaign engagement by 40% within three years

Analyzed over 100,000 diabetic encounters to evaluate the impact of HbA1c testing on readmissions.

See how I segmented DoorDash customers using RFM in Excel with dynamic dashboards and strategies to drive retention and engagement.

Analyzed 100K+ Olist orders using SQL & Tableau, uncovering trends and delivering a visually elegant dashboard for the eCommerce business.

Discover how I used SQL and Power BI to analyze hospital KPIs, reveal revenue trends, and identify opportunities for growth.

Look how I analyzed and visualized MavenTech’s sales data to uncover top performers, product trends, and pipeline gaps.

See how I used SQL and Power BI to uncover delays, cancellations, and visualize key performance trends across airline operations.

Inspired by a vehicle collision, I analyzed NYC crash data, uncovered trends, and shared insights through an interactive Tableau dashboard.

A deep dive into U.S. public debt trends—analyzing yearly growth, monthly patterns, and future projections using Excel.

Automating NYC crash data analysis in Excel with VBA macros to reveal trends, save time, and simplify reporting.