DATA NERDS

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📑 Table of Contents

• 🏷️ Badges
• ❓ Problem Statement
• 🔍 Research Question
• 🌍 Domain Study
• 🧠 System Thinking
• 📂 Repo Structure & Milestones
• 👥 Team
• ⚙️ How to Reproduce
• 📜 License

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🏷️ Badges

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❓ Problem Statement

Construction sites are energy intensive environments, often relying heavily on diesel generators and grid electricity. This results in high carbon
emissions and elevated operating costs.

From our direct observations on active construction sites:

• 🚚 Frequent diesel deliveries
• ⚡ Long generator runtimes even during non-peak hours
• 🛠️ High maintenance costs
• 📉 Lack of focused research in this domain

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🔍 Research Question

How would the use of renewable energy affect construction sites in terms of
cost, energy usage, and carbon emissions within the Middle East and African
regions?

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🌍 Domain Study

See domain study.

• 🏗 Sites depend heavily on diesel generators (30–1000 kW) and occasional
  grid hookups, driving up costs and emissions.
• ☀️ Hybrid systems (diesel + renewables) can cut fuel usage by 10–25%, but
  real-world pilots and detailed equipment-level data remain scarce.
• 🚧 Barriers: fuel delivery delays, genset inefficiency at low load, and
  inconsistent policies across regions.
• 📊 Drivers: supportive policy design, IoT-based scheduling, case studies.

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🧠 System Thinking

• Event: Power outage on a construction site.
• Pattern/Trend: Consistent need for generator maintenance.
• Structure: Idle inefficiency at <30% load → ~20% more fuel and wear.
• Mental Model: “Generators are the only reliable source of site power.”

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📂 Repo Structure & Milestones

• M0 – Cross-Cultural Collaboration
  May 27 – Jun 2
  Setup communication strategy and roles.

• M1 – Problem Identification
  Jun 3 – Jun 16
  Finalized research question and project scope.

• M2 – Data Preparation
  Jun 17 – Jun 30
  Cleaned survey + cost data and merged a study-ready dataset.
  Folder: 2_data_preparation

• M3 – Data Analysis
  Jul 1 – Jul 21
  Simulated a cost-efficiency label and trained baseline models.
  Folder: 4_data_analysis

• M4 – Communicating Results
  Jul 22 – Aug 11
  Audience personas, outreach strategy, and infographic.
  Folder: 5_communication_strategy

• M5 – Final Presentation Event
  Aug 12 – Aug 25
  2.5-minute pitch script and slides.
  Folder: 6_final_presentation

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👥 Team

• Nimatullahi Masuud – Data Scientist
• Ghyath Ibrahim – Electrical Engineer
• Tamir El-Waleed – Planning Engineer
• Lukmon Olamilekan – Biomaterials Engineer
• Yool Malaak – Civil Engineer

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⚙️ How to Reproduce

1. Clone this repository.
2. Explore folders in sequence:
   • 2_data_preparation → data cleaning and merging
   • 4_data_analysis → modeling notebook and outputs
   • 5_communication_strategy → audience strategy and Gantt
   • 6_final_presentation → pitch script and slides
3. Replace placeholder links with final presentation media.

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📜 License

This project is licensed under the MIT License.