SQL Project 4 | Maji Ndogo Water Crisis – Charting the Course for Maji Ndogo’s Water Future

Query
Project
ALX
Maji Ndogo
SQL
Author

Omotola Ayodele Lawal

Published

October 20, 2025

This project is more than just a series of SQL queries — it was a journey into applying data to drive real-world change.
By transforming raw water source data into actionable insights, I designed a framework for tracking, prioritizing, and improving water accessibility across Maji Ndogo’s provinces.

Through this analysis, I built a plan that helps identify which water sources to fix, upgrade, or monitor — enabling teams to translate data into community impact.
What started as a database exercise became a hands-on example of how SQL supports governance, transparency, and development.

At its core, this project highlights that SQL isn’t just for querying tables — it’s a tool for building systems of accountability.
From constructing relational models and using CASE logic for decisions, to developing the Project_progress table that tracks every intervention, each step reflected how structured data can guide sustainable action.

The story centers on the Maji Ndogo Water Improvement Initiative, where we analyzed the status of wells, rivers, shared taps, and in-home sources to build a province-wide plan for fair and efficient distribution.
By combining SQL logic, conditional analysis, and project tracking, I developed a structured database solution that supports field engineers, local authorities, and future monitoring efforts.

✅ Skills Applied

  • SQL Fundamentals: Joins · Filtering · Grouping · Aggregation · Constraints

  • Data Cleaning & Validation: Ensuring accuracy · Handling inconsistencies · Data integrity checks

  • Exploratory Data Analysis (EDA): Spotting trends · Identifying anomalies · Understanding distribution of water sources

  • Analytical Thinking: Translating logic into queries · Applying CASE statements · Building multi-table joins

  • Data Storytelling: Turning SQL results into actionable insights · Visualizing improvement strategies · Communicating findings clearly

  • Problem-Solving: Structuring scalable queries · Debugging joins and logic errors · Optimizing conditions for clarity

  • Development & Governance Focus: Applying data to guide equitable resource management and informed decision-making


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