PRIVATE PORTFOLIO

ArisPlatsoukas

Selected Work

ACCESSPrivate & Confidential

Access is granted for review purposes only. Redistribution, reproduction, forwarding or disclosure without prior written consent is prohibited.

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.

01

Selected Work

A

Professional

01PROFESSIONAL

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 soon
02PROFESSIONAL

NDM Demand Forecasting

Five-day natural gas demand forecasting framework combining weather, allocations, capacity information and operational market data.

LightGBM · Python · SQL

Portfolio page coming soon
03PROFESSIONAL

LNG Supply & Demand Model

Monte Carlo framework generating P10, P50 and P90 European LNG balances with undersupply and oversupply probabilities.

Monte Carlo · Platts API · Python

Portfolio page coming soon
04PROFESSIONAL

Gas Desk Automation

Automated forecasting, reconciliation and reporting workflows supporting physical gas trading operations.

Python · APIs · SQL · SFTP

Portfolio page coming soon
B

Certificate in Quantitative Finance

Selected assessed work from the Certificate in Quantitative Finance programme, presented as concise project case studies with methodology, implementation, results and selected code.

01CQF

Quantitative Risk & Return

83%

Portfolio analytics, quantitative risk measurement and statistical methods applied to financial markets.

Python · Statistics · Portfolio Analytics

Project page coming soon
02CQF

Options Pricing

97%

Quantitative derivatives work covering option valuation, simulation and computational pricing methods.

Python · Monte Carlo · Derivatives

View project →
03CQF

Data Science & Machine Learning

84%

Applied machine learning workflows covering data preparation, modelling, validation and predictive analytics.

Python · Machine Learning · scikit-learn

Project page coming soon
04CQF

Final Project

In progress

CQF final project focused on quantitative trading and time-series modelling in energy markets.

Time Series · Trading · Python

In progress
C

Academic

01UCL MSc

Bayes on “Crack”

Changepoint 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 soon
02

Credentials

01

UCL MSc Degree Certificate

Supporting document coming soon.

02

UCL Academic Transcript

Supporting document coming soon.

03

University of Crete Degree & Academic Record

Supporting document coming soon.

04

CQF Results Statement

Supporting document coming soon.