This Power BI dashboard analyzes EV adoption, policy impacts, and market share across U.S. states, offering insights for policymakers and manufacturers.

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End-to-end ETL project using Python and SQL to analyze retail orders. Includes data cleaning, feature engineering, KPIs, and SQL queries using window functions and CTEs.

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Interactive Excel dashboard showcasing coffee sales performance across regions and time. Includes charts, pivot tables, and slicers.

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Explores subscriber trends, revenue patterns, and pricing models using Python libraries like Pandas, Seaborn, Plotly, and Matplotlib.

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SQL-based analysis of COVID data using joins, CTEs, window functions, and time-series metrics to understand global and regional pandemic trends.

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Data cleaning and preprocessing project on Airbnb listings. Focused on null handling, outlier removal, feature optimization, and preparing clean datasets for analysis.

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