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dasboard

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This repository features the Retail sales and customer insights dashboard demonstrating data cleaning and analysis using Excel, Python, and SQL, along with interactive visualization in Power BI. Explore the code and reports to gain insights into sales performance, customer behavior, and product trends. A complete end-to-end data analytics workflow

  • Updated May 6, 2025
  • Jupyter Notebook

This project analyzes urban mobility patterns in Chicago by combining satellite imagery (Sentinel-2), OpenStreetMap road data, population density, business licenses/POI data, and a large Chicago taxi dataset (~14 million trips in 2024–early 2026).

  • Updated Apr 17, 2026
  • Jupyter Notebook

End-to-end water data platform built with PySpark, a Medallion Lakehouse, and DataOps principles (CI/CD, Testing). A local-first, containerised data platform (Docker). A governed Medallion Lakehouse with (Data Quality), and DataHub (Governance). Features Medallion architecture, automated data quality, and CI/CD.

  • Updated Nov 15, 2025
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