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Third-year Physics student building practical skills

I study physics and am preparing to transition from academics into my first professional role.

Work samples

A portfolio of academic projects, coursework, and early practical work that show my developing technical skills and problem solving in physics.

  • UK Utilities: Working Capital, Debt Capacity & DCF Valuation
    UK Utilities: Working Capital, Debt Capacity & DCF Valuation

    Developed a framework to investigate the relationship between weather volatility and corporate treasury liquidity risk and debt capacity across six UK-regulated energy and water utility companies; constructed a 4-year working-capital model, built a WACC-adjusted DCF/FCFF model projecting EV impairments; utilised Python scripting (pandas, Matplotlib) to automate data extraction and visualisation and executed manual data validation protocols.

    PythonpandasMatplotlibExcel

About me

I study physics and am preparing to transition from academics into my first professional role.

I am Nkosie Mswabuki, a third-year Physics student working toward a bachelor's degree. I have limited formal work experience and am preparing to begin my career, focusing on building technical knowledge and practical skills.

Experience

Private Tutor - Mathematics & Physics (A-Level)

Freelance · Sept 2023 - Present

Durham University Ambassador

Durham University · Sept 2025 - Present

Extended Assurance Work Experience Placement

Ernst & Young · Sept 2025 & Sept 2026

Education

Durham University

BSc Joint Honours in Chemistry and Physics (Expected Grade 2:1)

Eltham College

A-Levels: Mathematics (A*), Physics (A*), Chemistry (A*) · Class of 2024

Skills

Classical mechanicsElectromagnetismQuantum mechanics basicsData analysisLaboratory techniques

UK Utilities: Working Capital, Debt Capacity & DCF Valuation

Developed a framework to investigate the relationship between weather volatility and corporate treasury liquidity risk and debt capacity across six UK-regulated energy and water utility companies; constructed a 4-year working-capital model, built a WACC-adjusted DCF/FCFF model projecting EV impairments; utilised Python scripting (pandas, Matplotlib) to automate data extraction and visualisation and executed manual data validation protocols.

PythonpandasMatplotlibExcel
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