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483 followers · 49 following
  • Wrocław University of Science and Technology
  • Poland, Wrocław
  • 08:03 (UTC +02:00)
  • LinkedIn in/k-kucharski

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Achievement: StarstruckAchievement: Pull SharkAchievement: YOLOAchievement: Quickdraw

Achievements

Achievement: StarstruckAchievement: Pull SharkAchievement: YOLOAchievement: Quickdraw

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@recodehive @Devs-Dungeon

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kamil-kucharski/README.md

Hey, I'm Kamil 🙋‍♂️

🎓 Teleinformatics student at Wrocław University of Science and Technology

🐍 Interested in Python, SQL, data analysis, databases and practical IT systems

📊 I enjoy building applications that combine structured data, backend logic and real user needs

🚀 Currently exploring LLMs, embeddings, vector databases and RAG workflows for data-oriented applications.

🔧 What I work with

  • Python, NumPy, pandas and scikit-learn
  • SQL, PostgreSQL and relational database design
  • Data analysis and data processing
  • Windows, Linux and command-line workflows
  • Bash scripting
  • Docker fundamentals and container-based development
  • Backend logic and database-driven applications
  • Networking and teleinformatics fundamentals

🎯 What I’m focused on

I like working on projects where data, automation and software can make everyday tasks easier or more useful.

Profile views GitHub stars GitHub followers

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  1. world-cup-2026-prediction world-cup-2026-prediction Public

    ⚽ A machine learning project that predicts the 2026 FIFA World Cup using FIFA rankings, historical match results, Poisson regression, and Monte Carlo simulation.

    Jupyter Notebook 15 1

  2. Ink2Text-desktop Ink2Text-desktop Public

    🖋️ AI-powered desktop app for converting note photos into clean, editable text, with tools for organizing, refining, and exporting your notes.

    Python 10

  3. railway-telemetry-anomaly-detection railway-telemetry-anomaly-detection Public

    🔎 Predictive maintenance and anomaly detection project based on metro train compressor telemetry data using Python, pandas and scikit-learn.

    Jupyter Notebook 8

  4. retail-insight-customer-analysis retail-insight-customer-analysis Public

    📊 Customer purchase analysis using Python, pandas, NumPy and scikit-learn, with EDA, RFM segmentation and a simple ML classifier.

    Jupyter Notebook 7

  5. vestiq vestiq Public

    👜 A private digital wardrobe with an on-device intelligent stylist for Android, built with Kotlin and Jetpack Compose.

    Kotlin 8