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lazar-bit/README.md

👋 Hi, I’m Zsolt Lazar (@lazar-bit)

Defence & Security Researcher | OSINT Analyst | Data-Driven Research

I am a defence and security policy researcher with a multidisciplinary background combining security studies, international business, management, and information systems.

My research focuses on the intersection of defence innovation, emerging technologies, and computational methods. I combine qualitative research approaches with data-driven techniques to examine contemporary security challenges, military transformation, and the role of digital technologies in defence environments.

My interests include:

  • 🔍 Open-Source Intelligence (OSINT)
  • 🛰️ Satellite imagery and remote sensing analysis
  • 🌍 Geospatial intelligence and visualization
  • 📊 Data science and analytical methods
  • 🤖 Artificial intelligence and machine learning applications
  • 🛡️ Defence innovation and military technology

🧠 Research Interests

  • European defence cooperation and defence industrial policy
  • Military innovation and emerging technologies
  • Contemporary conflict dynamics
  • Information environments and strategic communication
  • Computational approaches to security research

I am interested in developing and applying interdisciplinary methods that combine social science research with digital technologies and analytical systems.

🛠️ Technical Interests

Programming & Data Analysis

  • Python
  • Data processing and automation
  • Statistical analysis
  • Web-based data collection
  • Research-oriented data pipelines

Geospatial & Digital Methods

  • GIS and spatial analysis
  • Remote sensing
  • Satellite data analysis
  • Data visualization
  • Information systems

✍️ Writing & Publications

I write about the intersection of defence, technology, and data-driven security research, covering topics related to emerging technologies, military innovation, and analytical methods.

📝 Medium: https://medium.com/@zsoltlazar

🤝 Collaboration

I am open to collaborations related to:

  • OSINT and security research
  • Defence technology analysis
  • Data science applications
  • Geospatial analytics
  • Computational social science

📫 Get in Touch

🌐 Website: https://bio.site/zsoltlazar

🔗 LinkedIn: https://www.linkedin.com/in/zslazar/

"Exploring security challenges through data, technology, and interdisciplinary research."

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  1. automated-warspotting-scraper automated-warspotting-scraper Public

    This Python-based automation tool periodically fetches and updates geolocated equipment loss data from the WarSpotting public API. It supports full historical scans and recent 30-day incremental up…

    Python 3

  2. geospatial-density-h3 geospatial-density-h3 Public

    A Python script for aggregating geolocated point data into 1 km² hexagonal zones using the H3 geospatial indexing system.

    Python

  3. warspotting-loss-scraper warspotting-loss-scraper Public

    Scrapes Russian equipment losses from WarSpotting.net using their open API

    Python

  4. deepstate-map-data-analytics deepstate-map-data-analytics Public

    Forked from cyterat/deepstate-map-data

    DeepState Map | Occupied | GeoJSON Multipolygon | CSV | Daily update

    Jupyter Notebook

  5. ukraine_nasa_firms_map_2022_2026 ukraine_nasa_firms_map_2022_2026 Public

    Interactive NASA FIRMS fire detection map over Ukraine (2022–2026) with monthly 3D Hexbin visualization

    HTML

  6. automated_ukraine_nasa_black_marble_VNP46A3 automated_ukraine_nasa_black_marble_VNP46A3 Public

    Automated processing pipeline for NASA Black Marble VNP46A3 monthly nighttime lights data over Ukraine using R, GitHub Actions, and Kaggle for persistent storage and reproducible updates.

    R