I'm Matthew Humble.

BSc Computer Science Student.

I am an enthusiastic and driven third year student at the University of Hull. I've honed my software skills through coursework and personal projects. I am looking to further my development in the field as I prepare for my MSc in Artificial Intelligence and Data Science. See below for a detailed overview of me and my achievements.

About Me

As a third-year Computer Science student pursuing an MEng degree at Hull University, my academic journey is fueled by a passion for technology and a commitment to innovation. Beyond algorithms, I have a deep-rooted joy of physical fitness. As a dedicated gym enthusiast, I cherish the discipline and resilience cultivated through weightlifting and strength training. When not immersed in lines of code or pushing personal limits in the gym, you'll likely find me pounding the pavement; running serves as a mental escape and a source of physical rejuvenation. Additionally, my love for American football runs deep, serving as a dynamic outlet for teamwork, strategy, and sheer adrenaline. With a balanced pursuit of both intellectual challenges and physical endeavours, I strive to embody a holistic approach to personal growth and fulfilment.

Technical Skills

Python

C++

SQL

HTML

CSS

Agile Developemnt

Waterfall Development

Machine Learning

Projects

Live Stock Market Webscraper and Trading Practice Tool. C#

This project involves developing an application that leverages web scraping to collect historical stock data and live prices for select tech stocks. Users can engage in simulated trading within a practice account, where they can buy and sell stocks to build their portfolio using real-time evaluations. The application provides candlestick charts for visualising stock trends and facilitating a virtual trading environment where users can hone their investment skills without risking real money.

AI Models Designed to Predict House Prices From the Ames Housing Dataset. Python

This project involves predicting future house prices using various regression models, such as linear regression, polynomial regression, neural networks, and random forest. Initially, the dataset undergoes preparation steps, including data cleaning, feature selection, and normalisation to ensure its suitability for training the models. The dataset is split into training and testing data to assess their performances accurately and ensure the models generalise well to unseen data and do not overfit. These models are then executed to learn the relationship between house features and prices. Finally, each performance is evaluated using metrics like mean squared error and mean absolute error, providing insights into their predictive accuracy and suitability for forecasting house prices.

Efficiency Focused Route Finding Algorithm For A Complex Data Structure. C++

This project involves building an adjacency list data structure to represent a network of places where each place is linked to its adjacent places using pointers. Using this data structure, various functions are implemented, including breath-first-search for finding the shortest route, route validation to ensure adherence to specific criteria and limitations, and distance calculation between places. This allows efficient traversal of the network and facilitates route planning and analysis within a large geographic area.

Paramount importance is placed on optimising the efficiency of the algorithms within the context of the extensive network. Through meticulous algorithmic design, data structure selection, and code optimization techniques, the project endeavours to minimize computational complexity and resource utilisation while staying 100% accurate.

Academic Qualifications

MSc Artificial Intelligence and Data Sceince

BSc Computer Science

University of Hull (2022-2026)

3 A-Levels: ABB

Hessle Sixth Form (2020-2022)

9 GCSEs

Hessle High School (2015-2020)

Testimonials

"Matthew Humble proved himself to be a competent and diligent team member by creating his kit pages, which helped the user order kits for their club/society with bespoke specifications. Matthew also provided many intelligent design choices during the early stages of our project."

- Harry Dixon-Hall. Team member of agile software project developing a management app for university clubs and societies.

"Matt has helped me immensely in my tutoring. Before he started, I was at a Grade C, and after my last mocks, he helped me get an A*. He's always been kind, helpful, extremely knowledgeable, and passionate about helping me achieve the best I can do."

- A-Level Student. Part-time tutoring job