Sales Analysis

Architected an end-to-end ETL pipeline using Python (Pandas) and Power Query to clean, , and integrate 7

relational datasets, resolving schema inconsistencies, handling null values, standardizing, and handling duplicates

60,000+ records.

Conducted EDA with Python (Seaborn and Matplotlib) to uncover regional trends discovering that the Western

Region contributed 30% of total volume, and Wholesale Channel constitutes 54% of sales were the primary growth

contributors.

Engineered 8+ complex DAX measures to track important KPIs (ROI, Profit Margin, Cost-to-Profit Ratio, etc.).

Designed multi-page dashboards with dynamic drill-throughs for stakeholder decision-making.