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Makotouwu/README.md

Oleksandr Tsepukh

AI Engineer | Data Scientist

👋 Hey there! I'm Oleksandr — blending data, code, and AI to build intelligent solutions that solve real-world problems and scale sustainably. With a strong foundation in machine learning, natural language processing, and data pipelines, I'm driven by impact, optimization, and a touch of curiosity.

📚 Currently sharpening my AI engineering skills while studying at the University of Antwerp and learning Dutch. Let’s create data-powered intelligence that drives the future.

🔧 What I'm Building With:

  • 🧠 Machine Learning / AI: scikit-learn, PyTorch, NLTK, transformers, LangChain, Prompt Engineering
  • 🐍 Programming: Python (advanced), R (beginner), Bash scripting, Git
  • 📊 Visualization & BI: Matplotlib, Seaborn, Plotly, Streamlit
  • 🛠️ MLOps & Tools: Docker, Jupyter, VS Code, GitHub Actions
  • 📡 Cloud & APIs: Gradio, Google Cloud
  • 🗃️ Data: SQL, Pandas, NumPy, Web Scraping, ETL, Data Cleaning
  • 🌍 Languages & NLP: NLTK, spaCy, Regular Expressions, Tokenization, Text Classification

🧩 AI Projects I'm Proud Of:

  • 🧠 Built an NLP pipeline to classify personality traits from text using the Pandora dataset ([link coming soon])
  • 🌐 Scraped and analyzed Wikipedia articles for NLP preprocessing and clustering
    → GitHub
  • 📊 Developed a real estate prediction model (data pipeline, API deployment)
    → [link to project]
  • 💳 Predicted customer churn for a financial client using ML + SHAP
  • 🔍 Extracted and visualized market research via SQL dashboards
    → [link to project]
  • 📱 Built B2C dashboards with PowerBI for Orange Belgium
  • ✈ Modeled fuel burn calculations across aviation datasets
  • 🏆 Finalist at Hey! x BeCode Hackathon – improved course completion insights with AI analytics

🎯 My Mission:

To build ethical, intelligent AI systems that augment human potential, reduce waste, and power smarter decisions.

🎓 Education:

  • 🧑‍💻 BeCode AI Bootcamp (2023–2024)
  • 🧠 University of Antwerp – Machine Learning & NLP Micro-Credential (2024–2025)
  • 🌐 Cisco Network Academy – CCNA R&S (2020–2021)
  • 🎓 High School Diploma (2018)

💡 Core Strengths:

  • 🔬 AI Engineering & ML modeling
  • 📈 Data storytelling & visualization
  • 🌍 Multilingual communication across teams
  • ⚙️ Automation, APIs, and rapid prototyping

🌐 Languages I Speak:

  • 🇬🇧 English (Fluent)
  • 🇳🇱 Dutch (B1 level, improving daily)
  • 🇺🇦 Ukrainian (Native)
  • 🇷🇺 Russian (Fluent)

📲 Let’s Build Together:

Pinned Loading

  1. challenge-data-analysis challenge-data-analysis Public

    This project applies data cleaning, visualization, and a custom API to predict property prices for ImmoEliza, a Belgian real estate company. 🏠

    Jupyter Notebook

  2. Churn_prediction Churn_prediction Public

    This project uses machine learning to predict customer churn and help businesses retain customers

    Jupyter Notebook

  3. danielbauwens/challenge-collecting-data danielbauwens/challenge-collecting-data Public

    Python

  4. Riddis/vivino_analysis Riddis/vivino_analysis Public

    Jupyter Notebook 1

  5. healthcare-rag healthcare-rag Public

    A domain-specific Retrieval-Augmented Generation (RAG) system for healthcare questions, built on Google Cloud Vertex AI

    Python

  6. vertex-gent-assistant vertex-gent-assistant Public

    Gent City Assistant - Vertex AI Agent

    Python