Projects covering data analysis, machine learning models, and data engineering pipelines. Each repository includes detailed documentation to help you understand the project's goals, tools used, and insights gained.

Description: An advanced SQL project featuring complex queries, optimization techniques, and real-world data scenarios.

Description: A mock database for data exploration, showcasing SQL proficiency and data analysis techniques.

Description: A deep dive into SQL query optimization and best practices.

Description: 🚢 Comprehensive data analysis and visualization of the Titanic dataset using popular data science tools.

• Programming Languages: Python (Pandas, NumPy, Scikit-learn), SQL (PostgreSQL, BigQuery)
• Data Visualization: PowerBI, Metabase, Matplotlib, Seaborn
• Machine Learning: End-to-end ML pipelines, model selection, NLP, data cleaning
• Cloud Platforms: Google Cloud Platform (GCP), AWS (basics)
• Other Tools: Excel, Google Sheets, REST APIs

• LinkedIn: emkhv
• Email: v.em.khachatryan@gmail.com

💡 Feel free to explore my repositories, star projects you like, and connect with me for collaboration opportunities. Happy coding!