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🤖 AI Job Market Analysis – Final Project (Summer 2025)

This project presents an in-depth analysis of global trends in the Artificial Intelligence (AI) job market, developed as part of my Comparative Cultural Studies Summer 2025 Final Project. Using a rich real-world dataset of 15,000+ job postings, this project uncovers insights about hiring patterns, salary trends, in-demand skills, and more across companies, industries, and countries.

🔍 Key Features

📘 Jupyter Notebook (ai_jobs_clean_final.ipynb)

  • 20+ well-structured, professional visualizations

  • Clean, step-by-step code with no clutter

  • Exploratory data analysis using:

    • Histogram, Boxplot, Pairplot, Heatmap, Word Cloud, Timeline, Bubble Charts
  • Analytical deep dives into salary, location, experience, education, and company size

🌐 Streamlit Dashboard (ai_jobs_dashboard_ultimate.py)

  • Fully interactive, artistic, and responsive dashboard

  • Sidebar filters: location, experience level, education

  • KPIs: total jobs, average salary, remote jobs, experience

  • Visual insights:

    • Bar charts, boxplots, timelines, word cloud
    • Remote ratio breakdown, job title frequency
    • Global job map using Folium with marker clustering

📂 Files in This Repository

File Description
ai_jobs_clean_final.ipynb Jupyter notebook with 20+ visualizations
ai_jobs_dashboard_ultimate.py Streamlit app file
ai_job_dataset_cleaned.csv Cleaned AI jobs dataset
requirements.txt Dependencies for easy setup

🚀 Getting Started

1. Clone the repo

git clone https://github.com/yourusername/ai-job-market-analysis.git
cd ai-job-market-analysis

2. Install dependencies

pip install -r requirements.txt

3. Launch the Streamlit dashboard

streamlit run ai_jobs_dashboard_ultimate.py

🧠 Insights Uncovered

  • Executive-level roles dominate the highest salary bands.
  • Remote jobs are most prevalent in large tech companies.
  • Python, TensorFlow, and Tableau are the top-requested skills.
  • The U.S., Switzerland, and Germany lead in AI salary benchmarks.

👨‍💻 Author

Pratik Rughe Data Visualisation Summer 2025 Final Project

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