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Hello WorldโœŒ๐Ÿป
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Hello WorldโœŒ๐Ÿป
2 followers · 4 following

Achievements

Achievement: Pair Extraordinairex2Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pair Extraordinairex2Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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KatGlo/README.md

Typing SVG

M.Sc. Eng. in Data Science | B.Sc. in Mathematics | Postgraduate in Cybersecurity
Passionate about the intersection of AI & Security ๐Ÿ”๐Ÿค–

Profile Views GitHub Followers GitHub Stars

๐Ÿš€ Tech Stack

Python R C/C++ Java SQL scikit-learn NumPy pandas SciPy Matplotlib Keras TensorFlow PyTorch Apache Spark Jupyter Kaggle Hugging Face Git GitHub Bash Linux Docker Kubernetes AWS Cryptography JFrog Terraform Jira

๐Ÿ“š Fields of Study & Interests

  • Data Exploration and Big Data Analysis
  • Neural Networks and Deep Learning
  • Machine Learning (including deployment)
  • Natural Language Processing (NLP)
  • Cybersecurity and Threat Detection

๐ŸŽ“ Certifications & Courses

๐Ÿ† Certification ๐Ÿข Provider ๐Ÿ“… Status
IBM DevOps and Software Engineering IBM โœ… Completed
Google Cloud Cybersecurity Google Cloud โœ… Completed

๐Ÿ“ˆ Contribution Activity

github contribution grid snake animation

๐Ÿ“Š GitHub Stats

GitHub Stats Top Languages
Contribution Graph
Repos per Language Most Commit Language Commit Time

Pinned Loading

  1. From-HippoRag-to-brain-language-networks From-HippoRag-to-brain-language-networks Public

    Forked from BartekKruczek/From-HippoRag-to-brain-language-networks

    Jupyter Notebook

  2. PeptiGraph PeptiGraph Public

    Forked from k-sobczyk/opensource-skfp-benchmark

    Classification of Peptides Using Molecular Methods

    Jupyter Notebook

  3. s3-trino-data-lakehouse s3-trino-data-lakehouse Public

    Data Lakehouse using AWS S3 and Trino for scalable storage and real-time SQL analytics.

    Dockerfile

  4. streamlit-viz-app streamlit-viz-app Public

    Forked from k-sobczyk/streamlit-viz-app

    Interactive app designed for advanced data visualization using techniques like t-SNE, UMAP, TRIMAP, and PaCMAP. It supports data loading, sampling, dynamic visualization, and quality metrics assessโ€ฆ

    Python