AF

Artem Fukalov

Physics graduate · Computational Physics, Scientific Computing & Data Analysis

Vanadzor, Armenia

@pink_panther

0 followers

🎓 Bachelor of Science in Physics at Southern Federal University (SFedU) · Graduating 2026

About

Physics undergraduate with research experience in computational modeling, numerical analysis, scientific computing, and data analysis. Focused on condensed matter physics, superconductivity, and materials science, with hands-on work in Python, SQL, DuckDB, Excel, Power BI, and Maple.

Experience

  • Undergraduate Research
    Southern Federal University
    2022 – 2026

    Conducted scientific research in condensed matter physics, superconductivity and materials science; worked on theoretical and computational studies of cuprate superconductors; developed Python-based computational models; used Maple for symbolic and analytical calculations; analyzed numerical results and compared model behavior with experimental data; worked independently and in a scientific research group.

Education

  • Bachelor of Science
    Southern Federal University (SFedU)
    Physics · 2022 – 2026
  • Professional Retraining
    Southern Federal University
    Data Analysis

Skills

1 to 2 years 1 to 2 years A year or two of steady use.
6 to 12 months 6 to 12 months Most of a year behind them.
3 to 6 months 3 to 6 months A few months of practice with it.

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git DuckDB GitHub Google Colab Microsoft Excel Jupyter Notebook Microsoft Power BI

Languages

Native / Bilingual Native / Bilingual Their first language, or as strong as one.
Russian Speak
Fluent Fluent Comfortable using it for work.
English Speak

Projects

  • Python, SQL, DuckDB, Excel, Power BI

    Built an analytical dataset on global wind-energy data and socioeconomic indicators, performed EDA and statistical analysis, and created an interactive Power BI dashboard.

  • Python

    Course project implementing a two-liquid model for charge transport in cuprate superconductors, with numerical Fermi-Dirac integrals, Hall carrier-density correction, and temperature-dependent Seebeck coefficient calculations.

Courses & certifications

  • Professional Retraining in Data Analysis · Southern Federal University

📚 Publications

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