Nehal Shandilya

BSc Economics student at Queen Mary University of London with a strong interest in financial markets, investment banking and trading. Developing practical finance skills through independent projects, including DCF valuation and M&A accretion/dilution modelling, alongside participation in a three-year trading programme focused on financial markets and trading strategies. Currently completing the Bloomberg Market Concepts (BMC) programme to strengthen knowledge of global markets, asset classes and Bloomberg Terminal functionality. A strong analytical, quantitative and commercial mindset with a keen interest in applying financial and economic concepts to real-world investment decisions.

• Bloomberg Market Concepts

• Young Economist of the Year — Participant
• Conducted independent research on AI's impact on productivity, labour markets and decision-making, applying economic theory to a contemporary issue.
• Swimming — Gold Level

Achieved Gold Level, demonstrating discipline, consistency and long-term commitment while balancing training with academic studies.

• Ballet — Advanced Level

Reached Advanced Level, developing precision, discipline and sustained performance through structured training and evaluation.

• Microsoft — DCF Valuation Model | Personal Finance Project

Built a 5-year DCF valuation model using Microsoft's historical financial statements and company filings, forecasting revenue growth, operating margins, capital expenditure and unlevered free cash flow to assess future financial performance.

Calculated WACC, terminal value, enterprise value and equity value to derive Microsoft's intrinsic share price

Developed Python-based sensitivity and scenario analysis to assess the impact of changes in WACC, terminal growth and operating assumptions on valuation.

• Microsoft – Activision Blizzard Acquisition | M&A & Accretion/Dilution Model

 Built an end-to-end M&A model analysing Microsoft's $68.7bn acquisition of Activision Blizzard, including valuation, transaction structure, financing and purchase price assumptions.

 Modelled potential synergies and pro-forma financials to assess EPS accretion/dilution, with sensitivity analysis across acquisition premium, financing and synergy assumptions.