HarveyAGH/Data-analysis-of-ML-Roles-in-Egypt

# Machine Learning Job Market Analysis in Egypt with Skill Demand Insights I am thrilled to share my comprehensive analysis of the Machine Learning (ML) job market in Egypt, a project fueled by my passion for uncovering opportunities in this exciting field. Using data sourced from Luke Barousse's huggingface job data, I explored key aspects of ML roles in Egypt, including job locations, leading employers, typical benefits, and the most in-demand skills for top data roles. Through Python scripting and advanced data visualization, I aim to provide actionable insights for professionals looking to navigate this dynamic market. ## Objectives of the Analysis This study addresses the following key questions: 1. What are the most prominent job locations for Machine Learning roles in Egypt? 2. Which companies are the leading employers of ML talent in Egypt? 3. What are the typical job benefits, including work-from-home options, degree requirements, and health insurance, for ML roles in Egypt? 4. What are the most in-demand skills for the top 3 data roles in Egypt, and how likely are they to be requested in job postings? ## Tools Utilized To conduct this in-depth analysis, I leveraged the following professional tools: - **Python:** The core language for data analysis and visualization, supported by: - **Pandas Library:** Facilitated efficient data manipulation and cleaning. - **Matplotlib Library:** Enabled the creation of foundational charts. - **Seaborn Library:** Enhanced visualizations with sophisticated plotting techniques. - **NumPy Library:** Supported numerical operations and data processing. - **Jupyter Notebooks:** Provided an integrated environment for executing code and documenting findings. - **Visual Studio Code:** Served as the primary platform for script development and debugging. - **Git & GitHub:** Ensured robust version control and enabled collaboration through project sharing. ## Data Preparation and Cleanup To ensure the reliability of my analysis, …