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 ResearchSouthern Federal University2022 – 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
-
2026
Bachelor of ScienceSouthern Federal University (SFedU)Physics · 2022 – 2026
-
Professional RetrainingSouthern Federal UniversityData Analysis
Skills
Tools / apps / platforms
Languages
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