Selected Projects

Here's a collection of my recent work in data and analytics. Feel free to browse through the notebooks and repositories to see how I approach different problems.

Filter by skill

10 of 10 projects

MSc DissertationSeptember 2025

Predictive Maintenance Health Indicator for Train Fleet Compressors

Built an LSTM-Autoencoder to detect compressor degradation in a train fleet using real-world operational data. Unified three data sources (9.5M+ sensor readings, 5M+ diagnostic records, and 69K+ maintenance work orders) into a modelling-ready dataset through end-to-end data wrangling and feature engineering. The model identified signs of degradation up to 30 days before recorded failures, with a median lead time of 13 days for detected events.

Python
PyTorch
LSTM
Autoencoder
Predictive Maintenance
Time Series

Report available on request

February 13, 2026

Let Me LC That For You

A desktop application that integrates multiple gaming APIs and leverages LLMs to build an intelligent recommendation system, aggregating player metrics from diverse data sources to generate data-driven loot distribution decisions.

Python
LLM
NiceGUI
API Integration
Recommendation Systems

YouTube Demo GitHub

December 15, 2025

Telco Customer Churn MCP Server

A proof-of-concept which aims to build an MCP server that bridges AI assistants with data analysis and machine learning capabilities.

MCP
Claude Desktop
Regression
Agents
LLM

Read Notebook GitHub

October 25, 2025

Northwind Enterprise Agent

An AI-powered assistant that answers business questions by querying two distinct data sources: a structured SQL database (Northwind) and an unstructured document store (company handbooks).

Python
SQL
LangChain
Agents
LLM
Northwind

Read Notebook GitHub

April 15, 2025

Art Discovery with CLIP

A search engine that utilises CLIP's zero-shot capabilities to retrieve artworks from the WikiArt dataset, bridging the gap between text and images.

Python
PyTorch
CLIP
Streamlit
Information Retrieval

Launch App 🤗 Hugging Face

April 11, 2025

CIFAR-10 Image Classification

Custom neural network architecture for CIFAR-10 image classification achieving 86%+ test accuracy. Implemented advanced techniques including batch normalisation, dropout, data augmentation, and architectural innovations with parallel convolutional paths and dynamic feature weighting.

Deep Learning
PyTorch
Computer Vision
CNN

Read Notebook GitHub

December 6, 2024

Who's Fibbing: Audio Deception Detection

Developed a machine learning model to distinguish between true and deceptive narratives based on audio recordings of spoken stories.

Python
Matplotlib
Librosa
Scikit-learn
Machine Learning

Read Notebook GitHub

November 26, 2024

Analysis of Regional Property Price Trends

An analysis of property price changes across England, using statistical tests to assess the independence of trends from regional classifications.

Python
Pandas
Numpy
Chi Squared
Permutation Tests
Statistics

Read Notebook GitHub

November 1, 2024

Predicting Bridge Health in Texas

Utilised regression modelling to predict bridge condition scores, helping identify key factors like age and traffic to support maintenance planning.

Python
Pandas
Numpy
Regression

Read Notebook GitHub

October 9, 2024

Demographic Analysis of UK Population

Exploratory analysis of national demographic data from the 2021 UK Census, focusing on population distribution across different age groups.

Python
Pandas
Matplotlib
GeoPandas

Read Notebook GitHub