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Unconventional Ways of R&D
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Unconventional Ways of R&D

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GeorgeKontsevik/README.md

Socials: LinkedIn Google Scholar Badge

Skills: LaTeX Python & Urban Analytics

Middle+ Level GeoDataScientist with 5 years of experience.

-- I turn complex data into practical solutions for businesses and cities.
-- I specialize in spatial analysis of urban and transportation infrastructure and graph models.
-- I have improved service accessibility, maximized incoming traffic, and optimized routes.
-- I work with Python using the OSMnx, PySAL, and Networkx libraries; I am proficient in SQL, Git, and Linux.

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  1. Sandrro/SOIKA Sandrro/SOIKA Public

    Библиотека для анализа городских событий

    Python 19 2

  2. Ride Ride Public

    Forked from sb-ai-lab/Ride

    RIDE is a Python library designed to accelerate Dijkstra's algorithm on diverse graph structures using a hierarchical approach

    Python

  3. season_framed_multilayer_arctic_network_model season_framed_multilayer_arctic_network_model Public

    consider it a preprint

    Jupyter Notebook

  4. super-duper-disser super-duper-disser Public

    Dissertation-focused geospatial pipeline orchestrator with multi-runtime execution, validation, and thesis artifact generation

    Jupyter Notebook