Welcome to CrystalPearl Rising!
Like crystals formed under pressure and pearls created through transformation, We combine the clarity and strength of crystal with the wisdom and hidden beauty of pearl to tackle real-world problems through innovative data-driven insights and cross-cultural collaboration.
π We don't just polish data, we transform raw potential into brilliant insights.
This repository documents our journey through a comprehensive data science project, from initial problem identification to final presentation. Our work emphasizes collaborative problem-solving, rigorous analysis, and effective communication of findings to drive actionable insights.
Status: Complete
- Established team communication frameworks
- Set up collaborative workflows and tools
- Set up communication channels for team coordination
- Agreed upon and established project constraints
- Defined group norms and working agreements
- Established individual and team learning goals
Status: Not Started
βββ README.md # This file
βββ 0_domain_study/ # Initial domain research and exploration
βββ 1_datasets/ # Data storage and management
βββ 2_data_preparation/ # Data cleaning and preprocessing
βββ 3_data_exploration/ # Exploratory data analysis
βββ 4_data_analysis/ # Advanced analysis and modeling
βββ 5_communication_strategy/ # Communication strategy for research findings
βββ 6_final_presentation/ # Final deliverables and presentations
βββ collaboration/ # Team collaboration documents
βββ notes/ # Team notes on project process and learnings
βββ requirements.txt # Project dependencies
Name | GitHub |
---|---|
Jola-Moses | @jola-ds |
Karim Makie | @KarimMakki |
Muqadsa Tahir | @MuqadsaT |
Omer Dafaalla | @omerdafaalla |
Omnia Mustafa Abdulgadir | @Omnia-Agabani |
Robel Mengsteab | @robi-mengs |
- Python 3.8+
- Git
- Notebook environment (Jupyter, VS Code, Colab, etc.)
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Clone this repository:
git clone [repository-url] cd [repository-name]
-
Install dependencies:
pip install -r requirements.txt
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Set up your development environment following our contribution guidelines
- π Our Group Norms
- π― Learning Goals
- π¬ Communication
- π§ Constraints
- π Retrospective
- Technical Excellence: Robust analysis with appropriate methods
- Collaboration Quality: Effective cross-cultural teamwork
- Communication Impact: Clear, actionable insights for target audience
- Learning Outcomes: Demonstrated growth in data science skills
- Innovation Potential: Identification of future opportunities
This project is licensed under the MIT License - see the LICENSE file for details.
π Current Milestone: Cross-Cultural Collaboration
ποΈ Last Updated: 2nd June 2025