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MakotoUwu/README.md

Oleksandr Tsepukh 🚀

Data Analyst | Business Analyst | Data Scientist

👋 Hi there! I'm Oleksandr, a rising star in the realm of data analysis and data Science. After honing my skills in programming and network courses, I'm excited about sustainable growth and creating impactful data-driven solutions.

📚 Currently enhancing my Dutch and mastering the arts of data at Eurocontol. Let's dive into the world of data together!

What I'm up to:

  • 🐍 Building cool stuff with Python: scikit-learn, NumPy, SciPy, MatPlotLib, PyTorch, Docker
  • 📊 Gaining ground with R: expanding my analytics toolkit with the basics of R
  • 👁️‍🗨️ Bringing data to life with visualizations: PowerBI, Tableau, Jupyter Notebook
  • ☁ Powering through with the clouds: AWS, Azure
  • 🔍 Querying the depths with SQL and streamlining with Streamlit
  • ✨ Sparking conversations with prompt engineering and natural language processing using NLTK
  • 🤖 Employing AI for predictions and insights that matter

Projects I'm proud of:

  • 🌐 Scrapped the vast expanse of Wikipedia using Python (link to project)
  • 🏡 Forecasted real estate trends, from data collection to API deployment ([link to project])
  • 💹 Conducted SQL-driven market research for laser-sharp insights ([link to project])
  • 📊 Visualized brilliance with Tableau for Accenture Belgium ([link to project])
  • 💳 Predicted customer churn to help financial institutions hold onto their clientele ([link to project])
  • 📱 Innovated with PowerBI for Orange Belgium's B2C insights
  • 🏆 Competed in Hey! x BeCode hackathon, revealing insightful completion rates
  • ✈ Calculated Fuel burn over a between Different datasets

My Previous Chapter:

👔 Sales Consultant at Lifecell Ukraine (2021-2022)

Academic Credentials:

  • 🌐 Cisco Network Academy: CCNA R&S (2020-2021)
  • 🎓 High School Diploma (2018)
  • BeCode: AI Bootcamp(2023-2024)

Core Skills:

  • 📊 Data Visualization Mastery
  • 🤝 Team Collaboration
  • 💬 Effective Communication
  • 🧠 AI Utilization for Predictive Analytics

Languages I Speak:

  • en English (Fluently)
  • 🇳🇱 Dutch (B1)
  • 🇺🇦 Ukrainian (Native)
  • 🇷🇺 Russian (Fluently)

Personal Interests:

  • 🌿 Sustainable Development Advocate
  • 🧗 Bouldering Enthusiast
  • 🌍 Globetrotter
  • 🥾 Avid Hiker
  • 🤲 Volunteering Spirit

Let's Connect:

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. Spoon-Knife Spoon-Knife Public

    Forked from octocat/Spoon-Knife

    This repo is for demonstration purposes only.

    HTML