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scarblase/README.md

👋 Hi there, I'm Bohdan Khomenko

Data Science Machine Learning Big Data

🚀 About Me

"In a world drowning in data, I build the bridges that turn information into intelligence."

I'm a passionate Data Scientist with expertise in end-to-end ML pipeline development, from raw data ingestion to production-ready models. I specialize in extracting actionable insights from complex datasets and building scalable AI solutions that drive real business impact.

🛠️ Technical Arsenal

📊 Data Science & Analytics

Core Libraries

  • Python Pandas NumPy SciPy Polars

Visualization

  • Plotly Matplotlib Seaborn
  • Tableau

🤖 Machine Learning & AI

ML Frameworks

  • Scikit-learn XGBoost

Deep Learning

  • TensorFlow
  • Transformers

Deployment

  • FastAPI Streamlit
  • Docker MLflow

🏢 Big Data & Cloud

Databases

  • PostgreSQL MySQL SQLite
  • MongoDB

Big Data Processing

  • Apache Spark Databricks
  • Snowflake BigQuery

Orchestration & Cloud

  • Apache Airflow dbt
  • Azure DuckDB

🎯 Current Focus & Learning

  • 🚀 MLOps & Model Deployment: Building production-ready ML systems with MLFlow
  • 🌊 Real-time Analytics: Stream processing with Apache Kafka
  • 🧠 Large Language Models: Fine-tuning and RAG implementations with LangGraph
  • ☁️ Cloud Architecture: Designing scalable data platforms on Azure

🤝 Let's Connect & Collaborate

Email LinkedIn Portfolio

Open to exciting data science opportunities and collaborative projects! 🚀

Profile Views

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  1. customer_churn_prediction customer_churn_prediction Public

    Project demonstrates the implementation of an Artificial Neural Network (ANN) to predict customer churn for a bank using TensorFlow/Keras

    Jupyter Notebook 1

  2. PortfolioProjects PortfolioProjects Public

    A collection of data analysis and business intelligence projects using SQL, Python, and visualization tools to uncover insights from real-world datasets. 🚀📊

    Jupyter Notebook 1

  3. russian-military-losses-analysis russian-military-losses-analysis Public

    This repository provides an in-depth analysis of Russian equipment losses using PySpark and data visualization techniques.

    Jupyter Notebook 1