Gas Capacity Optimisation
Scenario-based capacity optimisation framework comparing annual, monthly, quarterly and daily booking strategies across demand and weather outcomes.
Python · Streamlit · Optimisation
Portfolio page coming soonSelected Work
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A curated portfolio of work across energy markets, physical trading and quantitative finance.
This portfolio brings together selected professional projects, CQF work and academic research. Each project page is designed to explain the commercial or quantitative problem, methodology, implementation and key results rather than simply presenting raw code or notebooks.
Scenario-based capacity optimisation framework comparing annual, monthly, quarterly and daily booking strategies across demand and weather outcomes.
Python · Streamlit · Optimisation
Portfolio page coming soonFive-day natural gas demand forecasting framework combining weather, allocations, capacity information and operational market data.
LightGBM · Python · SQL
Portfolio page coming soonMonte Carlo framework generating P10, P50 and P90 European LNG balances with undersupply and oversupply probabilities.
Monte Carlo · Platts API · Python
Portfolio page coming soonAutomated forecasting, reconciliation and reporting workflows supporting physical gas trading operations.
Python · APIs · SQL · SFTP
Portfolio page coming soonSelected assessed work from the Certificate in Quantitative Finance programme, presented as concise project case studies with methodology, implementation, results and selected code.
Portfolio analytics, quantitative risk measurement and statistical methods applied to financial markets.
Python · Statistics · Portfolio Analytics
Project page coming soonQuantitative derivatives work covering option valuation, simulation and computational pricing methods.
Python · Monte Carlo · Derivatives
View project →Applied machine learning workflows covering data preparation, modelling, validation and predictive analytics.
Python · Machine Learning · scikit-learn
Project page coming soonCQF final project focused on quantitative trading and time-series modelling in energy markets.
Time Series · Trading · Python
In progressChangepoint Detection & Trading Strategy Implementation on Crack Spreads
MSc Computational Finance dissertation applying Bayesian changepoint detection to energy spread regimes and systematic trading.
Bayesian Methods · Energy Spreads · Python · Trading
Thesis page coming soonSupporting document coming soon.
Supporting document coming soon.
Supporting document coming soon.
Supporting document coming soon.