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artyomashigov/README.md

Hi there! πŸ‘‹

I’m Artyom, a data analytics and engineering professional with 7 years of experience across finance, banking, iGaming, online marketplaces, online media, and aviation services.

  • πŸ’‘ Skilled in Python, SQL, and data visualization tools like Tableau and Power BI.
  • 🌐 Experienced with MySQL, PostgreSQL, BigQuery, and AWS for data engineering and cloud solutions.
  • πŸ“š Recently completed a Master of Science in Business Analytics at CEU, specializing in data science and machine learning.
  • πŸš€ Currently revising Tableau skills and building ELT pipelines.
  • πŸ“– Reading Designing Data-Intensive Applications to enhance my knowledge.
  • ⚽ Enjoy playing and watching football, video games, and exploring tech.
  • 🌍 Open to remote, onsite, or hybrid roles worldwide for consulting, full-time, freelance, or project-based work.

πŸ“ˆ GitHub Stats:

Artyom's GitHub stats

πŸ“« How to Reach Me:

πŸ’» Tech Stack:

Python R SQL IBM SPSS Statistics EViews MySQL Microsoft SQL Server BigQuery dbt PostgreSQL MongoDB Pandas NumPy Microsoft Excel Power BI Tableau Google Data Studio Qlik Plotly Matplotlib Seaborn KNIME Postman AWS Docker Docker Compose Databricks Selenium Airbyte Apache Airflow Plotly Dagster Salesforce Claude Code Codex


Feel free to connect with me or check out my projects here on GitHub! πŸ™‚

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  1. aws-market-data-pipeline aws-market-data-pipeline Public

    AWS pipeline for collecting and processing market data.

    Python

  2. ml-in-prod ml-in-prod Public

    Machine learning in production practice project.

    Python 1

  3. armenian_top_banks armenian_top_banks Public

    Data analysis project about top Armenian banks.

    Python 1

  4. ci_cd_test ci_cd_test Public

    Practice repository for CI/CD and GitHub Actions workflows.

    Python 1

  5. spacex-landing-prediction spacex-landing-prediction Public

    IBM Data Science capstone predicting SpaceX Falcon 9 landing success.

    Jupyter Notebook

  6. zillow-loans zillow-loans Public

    Notebook project scraping and organizing mortgage loan-rate data.

    Jupyter Notebook