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somia-moslhy/Privilege-vs-Success-Egypt-Startups

Domaine:

socioeconomic

Type de record:

project
Créateur:
som
Hôte:
Investigating the 'Privilege vs. Success' gap: A data-driven look at how university pedigree and international education influence funding for Egyptian startup founders. # Egyptian Startups: The Privilege vs. Success Gap An interactive data science project and dashboard investigating how educational backgrounds, university prestige, and international exposure influence the fundraising success of startup founders in Egypt. ## 🔗 Live Dashboard **View the Interactive Dashboard here!** --- ## Project Objective The Egyptian startup ecosystem is booming, but does everyone have the same starting line? This project explores: * **The "AUC/Cairo Univ" Factor:** Do graduates from top-tier universities raise more capital? * **The Privilege Gap:** Does studying abroad or having an MBA correlate with higher funding rounds? * **Industry Trends:** Which sectors (Fintech, E-commerce, etc.) are attracting the most investment? ## Tech Stack * **Language:** Python 3.x * **Data Manipulation:** Pandas * **Interactive Visualizations:** Plotly Express * **Web App Framework:** Streamlit * **Environment:** Jupyter Notebook / VS Code ## Key Insights from the Data 1. **Dominant Sectors:** Fintech and E-commerce represent over 60% of the startups in the dataset, showing where the "smart money" is going. 2. **The Education Pipeline:** A significant concentration of founders comes from elite institutions like AUC, suggesting strong alumni networks play a key role in fundraising. 3. **The Global Floor:** Founders with international education (Study Abroad) tend to have a higher "minimum" funding level compared to local-only education. 4. **Technical Roots:** Engineering remains the most common field of study for successful tech founders in Egypt. ## Project Structure * `app.py`: The main Streamlit application code. * `EDA.ipynb`: Comprehensive Exploratory Data Analysis notebook. * `Eyptions_startups.xlsx`: The cleaned dataset used for analysis. * `requirements.txt`: List of Python libraries required to run the app. ## How to Run Locally 1. Clone the repository: ```bash git clone github.com