Strengths | Interests

Data Analysis

I love storytelling and find data analytics to be a similar art. Extracting insights from data and weaving them into compelling narratives with beautiful visualisations.

Machine Learning

So much more than an API call to scikit-learn. I find the theory and mathematics as enjoyable as the implementation.

Software Engineering

With a robust background in backend development, I excel at creating efficient and scalable solutions using modern frameworks.

Databases

I have extensive experience working with both relational and JSON-based databases, enabling me to design and manage efficient data storage solutions.

Currently deploying PyTorch for detecting audio files that have undergone lossy compression and been restored to a lossless format.

Deep Learning

Versatility

My diverse background spanning mechanical engineering and software development adds valuable dimensions to my approach, equipping me with a unique ability to tackle challenges with adaptability and precision.

Showcasing a selection of data science and software engineering projects.

Bridge Condition Regression Project

EDA | Linear Regression | Data Visualisation

This detailed project investigates the condition of bridges in Texas using a dataset provided by the US Department of Transport. The goal is to analyse the predictors ability to predict the bridges condition and develop a linear model.

Audio Deception Detection Project

Machine Learning | Data Mining | Classification

This project aimed to develop an ensemble machine learning model to predict whether a human read audio story is true or false. This supervised binary classification task was applied to the MLend Deception data set - to which I was a contributor.

Flat Price Association Exersize

Statistical Testing | Data Visualisation

This exersize explores the relationship between stork populations and human birth rates across various countries. It critically examines the often-cited correlation between these variables, using statistical modeling and the bootstrap technique to evaluate different predictors of birth rates.

This exersize analyses changes in flat prices across different regions of the UK. The analysis uses visualisations and statistical testing to determine whether the region of a property has a statistically significant association with the direction of its price change.

Stork Numbers Birthrate Exersize

EDA | Linear Regression | Data Visualisation

Portfolio

AI Assisted Minesweeper Game

Web Development | Azure | NextJs | Docker

This hobby project is a Azure deployed version of the classic Minesweeper game - but with a twist. If you get stuck, the AI assistant can analyse the board and make the statistically safest move for you.