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racciel/README.md

πŸ‘‹ Hi, I'm Andreas Leja (aka Racciel - for friends)

πŸŽ“ Cognitive Science MSc student @ University of Rijeka
🧠 Previous MSc in Informatics | Curious mind blending tech & human behavior
πŸ’‘ Passionate about AI, ML, data analysis, and building tools that make sense of complexity.


πŸ”¬ Current Interests

  • AI + Cognitive Science intersections
  • Machine learning & data science
  • Learning analytics
  • NLP, Transformers & Retrieval-Augmented Generation (RAG)
  • Automating and simplifying knowledge workflows
  • Using IT in scientific research area the way it's being used in the industrial settings

πŸ’Ό Looking Ahead

I'm exploring opportunities in:

  • Applied AI / ML research
  • Data science & analytics
  • Cognitive technologies
  • Research assistantships or internships (remote-friendly)

If you're working on something at the crossroads of tech and human cognition, I'd love to connect!


πŸ“« Connect with Me

andreas-leja andreas-leja racciel Racciel raccielwastaken


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  1. reinforcement-learning-agent-pokemon-red-game reinforcement-learning-agent-pokemon-red-game Public

    Intelligent agent for playing Pokemon Red version using Reinforcement Learning techniques (Q-learning) on pyboy emulator

    Python

  2. pca-cnn-image-classification-oxford-flowers pca-cnn-image-classification-oxford-flowers Public

    Semi-supervised machine learning image classification problem in 102 classes (Oxford flowers) using CNN and PCA

    Python

  3. expectation-maximization-life-expectancy expectation-maximization-life-expectancy Public

    Expectation-maximization algorithm using GMM for clustering data in two-dimensional input space performed on two different datasets

    Python

  4. rag-based-pdf-explainer rag-based-pdf-explainer Public

    PDF explainer based on RAG using free models - streamlit application

    Python

  5. mobile-price-classification mobile-price-classification Public

    Data science project on mobile phone price range dataset using CRISP-DM methodology for data preparation and model training. Used simple ML algorithms like: KNN, Naive-Bayes, nerual networks

    Jupyter Notebook

  6. life-expectancy-data-analysis life-expectancy-data-analysis Public

    R