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storytelling-with-data

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NICS-firearm-background-checks-investigation

🔫 The data comes from the FBI's National Instant Criminal Background Check System. The NICS is used by to determine whether a prospective buyer is eligible to buy firearms or explosives. 🔫

  • Updated Jun 21, 2024
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Data-driven analysis of inventory management and supply chain efficiency (2015-2018). Identifies key trends in product classes, sales performance, and shipping. Provides actionable insights to optimize inventory levels, reduce costs, and improve customer satisfaction in a complex supply chain environment.

  • Updated Aug 29, 2024

Project involves the analysis of grocery sales data from BlinkIT, to derive insights and visualize key metrics using Power BI. The dataset contains fields such as Item Fat Content, Item Identifier, Item Type, Outlet Establishment Year, Outlet Identifier, Outlet Location Type, Outlet Size, Outlet Type, Item Visibility, Item Weight, Sales, Rating.

  • Updated Aug 5, 2024

Data-driven analysis of sales performance metrics from 2014-2017, identifying key trends in product sales, regional performance, and profitability. Provides actionable insights to optimize inventory, improve profit margins, and enhance customer satisfaction in a competitive market.

  • Updated Aug 29, 2024

Analysis of consumer complaints in the financial services sector, leveraging data from 2013-2016. This project examines customer satisfaction, resolution times, and dispute rates across various companies and products. It provides actionable insights and recommendations to improve complaint handling processes, enhance customer satisfaction.

  • Updated Aug 29, 2024

Crop Production Analysis (1997-2014) This project analyzes crop production data from 1997 to 2014, utilizing Tableau Desktop for visualization and Excel for data cleaning. The analysis provides insights into agricultural trends, seasonal production variations, state-wise production, and area vs. production efficiency for top crops.

  • Updated Aug 7, 2024

The project involved designing a MySQL database to store and normalize transaction, customer, and product data. SQL queries were used to extract business insights like sales trends, product performance, and customer behaviors.

  • Updated Nov 4, 2024

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