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Bairma NaydanovaBN

Bairma Naydanova

Data Engineer, Computer Vision Engineer

EUR 350/Tag
Ghent, BE
3-7 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Bairma

I work at the intersection of data, analytics, and practical problem-solving. My main strength is turning messy, unstructured problems into clear systems for data, reporting, and decision-making. I analyze processes, identify where time and visibility are being lost, structure data from different sources, and automate reporting workflows so the end result is not just another dashboard, but something people can actually rely on. My background also includes working with Azure-based data solutions as part of broader analytics and reporting setups. Alongside that, I work on applied AI and computer vision projects. I prepare datasets, train and improve YOLO models, and turn technical ideas into working prototypes that can be tested in real scenarios. What interests me most is not AI for the sake of AI, but building solutions that connect technical logic with practical use. What I can help with: data analysis and reporting automation BI reporting and monitoring systems improving visibility through better data workflows Azure-based data solutions in analytics contexts applied AI / computer vision prototyping turning technical ideas into practical, testable solutions
  • Englisch

    Muttersprachlich oder zweisprachig

  • Niederländisch

    Verhandlungssicher

  • Russisch

    Muttersprachlich oder zweisprachig

Vor Ort möglich
Ghent (bis zu 50 km), Brussels (bis zu 40 km), Antwerp (bis zu 20 km)

Projekt- und Berufserfahrung

  • DXC Technology
    DataEngineer
    ÖFFENTLICHER SEKTOR & KÖRPERSCHAFTEN
    März 2024 - Dezember 2024 (9 Monate)
    Mechelen, Belgien
    Built and automated an ETL pipeline using Python APIs integrated into Azure DevOps, saving ~7 hours of manual work perweek. Built an on-demand Python pipeline in Linux to generate detailed metadata reports, contributing to a long-term client relationship. Optimized an Azure Function using Python, reducing storage costs by 15% and improving report execution time by 30% through automated processes.
    Microsoft Azure Python ETL-Prozesse (Extrahieren, Transformieren, Laden) Linux Terraform
  • Neargrid Solutions NV
    DataManager
    ENERGIE
    Mai 2023 - Februar 2024 (9 Monate)
    Lokeren, Belgien
    Maintained daily accessibility of40 TB ofwarehouse data in a cloud-based CEPH environment using Hadoop and PySpark. Automated anomaly detection in temperature and voltage data with PySpark, reducing manual validation time by 20% and improving detection accuracy by 10%. Bridged non-technical stakeholders and third-party engineers, improving issue resolution time by ~20% through clearer communication.
    Python Verarbeitung in Echtzeit PySpark SQL Server Hadoop

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Ausbildung und Abschlüsse

  • MSc in Business Economics.
    UGent
    2021
    MSc in Business Economics.

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