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JuliusMaliwat/README.md

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Website LinkedIn Email


Experience

  • Data EngineerQuantyca · Monza, Italy · 06/2025 – Present
  • Data EngineerSoftlab · Milan, Italy · 06/2024 – 06/2025
  • Software EngineerKPMG · Milan, Italy · 07/2023 – 06/2024

Education

  • M.Sc in Data Science — University of Milano-Bicocca · Milan, Italy · 10/2023 – 10/2025 · 110/110 with honors
  • B.Sc in Statistics — University of Milano-Bicocca · Milan, Italy · 10/2020 – 07/2023 · 110/110 with honors

Skills

Programming & Development

Python SQL JavaScript R Git

Data Engineering & Cloud

Spark AWS Databricks

Data Science, AI & Analytics

TensorFlow PyTorch scikit-learn pandas Tableau

Certifications

Databricks Certified Data Engineer Associate

Personal Projects

University Projects

Interests

Fitness Basketball Chess Anime Bouldering Trekking Guitar

Pinned Loading

  1. deep-learning-audio-vision-retrieval deep-learning-audio-vision-retrieval Public

    A multi-task deep learning project on environmental sound classification, low-light object detection, and vehicle image retrieval.

    Jupyter Notebook

  2. semantic-segmentation-camvid semantic-segmentation-camvid Public

    A deep learning project to classify each pixel in CamVid dataset images into predefined classes using semantic segmentation techniques

    Jupyter Notebook

  3. META-champions-lol META-champions-lol Public

    LoL META champion analysis leveraging Riot Games API, web scraping, and relational databases to strategize for Patch 13.24.

    Jupyter Notebook

  4. smoke-signals-ml smoke-signals-ml Public

    A machine learning project utilizing KNIME to analyze bio-signal data for classifying smoking behavior and identifying key health indicators impacted by smoking

  5. decoding-nba-positions-by-shots decoding-nba-positions-by-shots Public

    A machine learning approach to categorize NBA players by role using shot characteristic data, highlighting the game's evolution over three decades.

    R

  6. bachelor-thesis bachelor-thesis Public

    A comparative study of SVM, Random Forest, and BioBERT models for enhancing medical meta-analysis through accurate literature classification.

    Jupyter Notebook