Bulgaria Tech Job Market Intelligence Dashboard

Author: Emre Pelzer
Tools Used: Python, SQL, Power BI, NLP (Flair), Gradio
Target Audience: Recruiters, hiring managers, tech professionals, and analysts interested in Bulgaria’s evolving tech job market.

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Project Overview

This project analyzes and visualizes over 400 job postings from the top three Bulgarian tech hubs — Sofia, Varna, and Plovdiv — to uncover trends, skill demands, and hiring patterns. It was created to showcase advanced data skills through a full pipeline: from custom AI-powered web scraping to interactive dashboard delivery.

The final result is a Power BI dashboard that gives decision-makers immediate, actionable insights into Bulgaria’s tech job landscape.

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Key Features & Highlights

• Custom Job Scraper
  Built with BeautifulSoup, enhanced by Flair NLP for automatic skill extraction. Includes a Gradio UI allowing users to filter jobs by city, experience level, work type, and more.

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  🔒 The full AI-powered LinkedIn scraper + GUI is available as a licensed product.
  Contact me or get access here: www.linkedin.com/in/emre-pelzer-b14148324

• Full ETL Pipeline
  Includes Python scripts for cleaning, validating, and loading data into a structured SQLite database with well-defined schema.

• Powerful Dashboard (Power BI)
  Features bar charts, stacked visuals, pie charts, and slicers. Visuals include:

  • Top skills demand (e.g., Python, SQL, Excel)
  • Role-seniority breakdown
  • Company hiring leaderboard
  • And more

• Organized Repo Structure

  • data/: raw, cleaned, and analyzed datasets
  • scripts/: scraping, cleaning, validation, loading
  • notebooks/: analysis and visualization planning
  • dashboard/: final .pbix and .pdf file
  • plots/: exported visualizations

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Key Insights

• Python is the most in-demand skill, appearing in over 1 out of 5 postings.
• Most roles are mid-level or senior — junior roles are relatively rare.
• Sofia dominates tech hiring, with Varna and Plovdiv far behind.
• Top companies hiring include myPOS, MentorMate, and Luxoft.
• Skill combinations show strong co-occurrence of Python with SQL and Excel.

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Dashboard Preview

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How to Use

1. Clone the repo
   git clone https://github.com/emrepel03/bulgaria-job-market-dashboard.git

2. Open the .pbix file in Power BI Desktop (Windows required).
   File path: dashboard/BulgariaTechMarketDashboard.pbix

3. Or explore the data manually:

   • Check data/analysis/ for ready-made CSVs
   • View visualizations in plots/ or notebooks/exploratory_analysis
   • Review code in scripts/ and notebooks/

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About Me

I am Emre Pelzer, a Data Science & AI graduate with a passion for data analysis and practical insights.
This project is part of my public portfolio — feel free to connect with me on LinkedIn.

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