End-to-end customer sales data analysis using Python, including data cleaning, transformation, and business insights visualization.
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Updated
Feb 13, 2026 - Jupyter Notebook
End-to-end customer sales data analysis using Python, including data cleaning, transformation, and business insights visualization.
End-to-end retail sales data analysis project using Python (Pandas) and Power BI. Includes data cleaning, exploratory analysis, KPI reporting, and business insights.
End-to-end E-commerce Revenue & KPI Analysis using Python, SQL Server, and Power BI. Includes data cleaning, SQL modeling, DAX KPIs, and an interactive BI dashboard.
An analytical study of how Bitcoin market sentiment (Fear vs Greed Index) influences trading volume, leverage behavior, and profitability using historical data.
SQL data analysis project using SELECT, JOIN, GROUP BY, and ORDER BY queries to analyze sales performance, revenue trends, and customer purchasing behavior.
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Interactive Excel Amazon Sales Dashboard analyzing sales trends, profits, product & regional performance, with KPIs, PivotTables, charts, and slicers for data-driven business insights and executive reporting.
Tableau dashboard analyzing British Airways customer review data to evaluate airline service performance across aircraft types, locations, and time.
SQL-based business analytics on the Online Retail II dataset, answering core customer, revenue, retention, and product performance questions.
Customer segmentation analysis using SQL and Power BI to identify revenue patterns and customer behavior
Power BI dashboard analyzing Electric Vehicle trends, registrations, and manufacturer insights.
Power BI dashboard analyzing hospital emergency room performance
My personal Data Analytics portfolio including skills, progress, goals, and project highlights.
An enterprise-grade ETL and BI architecture analyzing 3M+ clinical records. Built with Python, MySQL, and Power BI to decode DRG flat-rate billing and visualize 30-day hospital readmission risks.
Business case study analyzing platform-wide demand collapse and recovery strategy using SQL, Python, and Tableau. Includes revenue decomposition, cohort retention, and executive dashboards.
End-to-end Shopify e-commerce sales analysis built in Microsoft Excel. Includes data cleaning, KPI dashboard, pivot tables, and business insights using 1,000 orders from FY 2024.
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