Matthew Bowyer Analytics and Data Science Manager

Evidence

Evidence & Artefacts

Every report, literature review, presentation and worksheet produced across my MSc and BSc modules — 29 artefacts, each attributed to the module it was written for and to what it demonstrates. Nothing here is a summary of the work; these are the work.

What you are looking at

These are the original academic artefacts. They are published unedited: the marks, feedback and rough edges are the point, because they show how the analysis was actually done rather than how it would be presented with hindsight.

Academic work produced for assessment is retained as submitted. Presentation on this site has been rebuilt; the documents themselves have not been altered.

Professional experience — roles and evidence

Alongside the academic artefacts, each of the roles on the Experience page appears here. Where a real on-disk artefact relates to a role it is linked explicitly (role → artefact); where the work is confidential to the employer the role is stated with no artefact link, and that is recorded in the delivery summary as artefact-less by necessity.

  • Manager: Data Analytics & Global Reporting

    Cartrack · Jun 2024 – Present

    Artefact: Literature Review Machine Learning for Churn Prediction at Cartrack.pdf — The MSc literature review studies churn prediction for Cartrack — the employer and business problem this role owns. This is the explicit role → artefact join.

  • SIM Usage Analyst

    Cartrack · Jan 2024 – May 2024

    Confidential operational fleet data; no publishable artefact. The responsibilities for this role are stated on the Experience page with no artefact link implied.

  • Data Scientist

    Greendoor Group · Mar 2023 – Jan 2024

    Client and subsidiary work is confidential; no publishable artefact. The responsibilities for this role are stated on the Experience page with no artefact link implied.

  • Data Analyst

    Smith Yong and Associates · Jan 2019 – Feb 2023

    Audit and inventory engagements are confidential; no publishable artefact. The responsibilities for this role are stated on the Experience page with no artefact link implied.

  • Vice Chairman & Athlete Representative

    Gauteng Weightlifting Association · Feb 2025 – Present

    Voluntary association role; no artefact on disk. The responsibilities for this role are stated on the Experience page with no artefact link implied.

  • Executive Committee Member

    Gauteng Weightlifting Association · Jul 2023 – Feb 2025

    Voluntary association role; no artefact on disk. The responsibilities for this role are stated on the Experience page with no artefact link implied.

  • South African Presidents Team Representative

    RLSS Commonwealth Festival of Lifesaving · 2019

    Sporting achievement; no publishable artefact. The responsibilities for this role are stated on the Experience page with no artefact link implied.

Research project — design, literature and method

The research strand of Research Methods and Professional Practice: a full literature review, the plan and outline behind it, the data collection design, and the research proposal presented and transcribed.

Artefact Type Module What it demonstrates
Literature Review: Machine Learning for Churn Prediction in Telematics for Cartrack PDF Research Methods and Professional Practice A 13-page literature review on machine learning approaches to churn prediction in telematics for Cartrack, with introduction, scope, research questions, method and findings.
Literature Review Plan PDF Research Methods and Professional Practice The planning document for the review: focus and aim, audience, scope across B2B and B2C clients and the search approach.
Literature Review Outline (2019–2025) PDF Research Methods and Professional Practice The structural outline of the churn-prediction literature review, setting out introduction and scope, a PRISMA-based method, and the organisational rationale.
Literature Review Preparation PDF Research Methods and Professional Practice Preparation notes on methods, data collection and skills for the research project, justifying a quantitative/predictive machine learning approach.
Data Collection Outline PDF Research Methods and Professional Practice A one-page outline of the data collection tool and process for machine learning churn prediction across B2B and B2C customers, using Python alongside PostgreSQL and covering subscription, usage, device health and repair-history variables.
Research Proposal Presentation Outline PDF Research Methods and Professional Practice The slide outline for the same Formula 1 research proposal presentation: introduction, objectives, method and plan.
Research Proposal Presentation Transcript PDF Research Methods and Professional Practice The spoken transcript of the research proposal presentation on predicting Formula 1 qualifying order and race outcomes.
F1 Masters Presentation: Predicting Formula 1 Qualifying Order and Race Outcomes PDF Research Methods and Professional Practice The 23-slide presentation of the research proposal on predicting Formula 1 qualifying order and race outcomes.

Machine learning & AI projects

Applied machine learning work: a collaborative discussion from the ML module, a fifteen-slide executive proposal to enhance AI dashcams with convolutional neural networks, its transcript, and a group business analysis report using k-nearest neighbours.

Artefact Type Module What it demonstrates
Unit 1–3 Collaborative Discussion: The 4th Industrial Revolution PDF Machine Learning A collaborative discussion analysing a specific information-system failure and its consequences for customers, cost and reputation, produced in Google Colab.
Unit 1–3 Collaborative Discussion: The 4th Industrial Revolution (Word version) DOCX Machine Learning The Word version of the same Unit 1–3 collaborative discussion on information-system failure and the 4th Industrial Revolution.
Unit 11 Slide Deck: Enhancing Karooooo’s AI Dashcams with Convolutional Neural Networks PDF Machine Learning A 15-slide executive presentation proposing convolutional neural network enhancements to AI dashcams, delivered as a research project.
Unit 11 Transcript: Enhancing Karooooo’s AI Dashcams with CNNs PDF Machine Learning The presentation transcript for the dashcam CNN research project, setting out the problem, proposed approach and expected value.
Group TM3 — Business Analysis Report: Balancing Tourism Flows with KNN PDF Machine Learning A 17-page group report building a neighbourhood busyness-score recommender with k-nearest neighbours to address overtourism in major urban centres.

Big data & database engineering

Data wrangling and database work from Deciphering Big Data, including a full logical database design and implementation for a ride-hailing company.

Artefact Type Module What it demonstrates
Collaborative Discussion 1 — The Data Collection Process PDF Deciphering Big Data Initial post evaluating the role of the Internet of Things in big-data architectures for continuous data collection and analysis.
Unit 6 — Project Report: Database Design for a Ride-Hailing Company PDF Deciphering Big Data A project report presenting the logical database design for a ride-hailing company, covering requirements, schema and the case for a scalable database management system.
Unit 11 — Individual Project Executive Summary PDF Deciphering Big Data Executive summary of the logical database design and implementation for a ride-hailing company.

Data visualisation & dashboards

Visualisation work from Visualising Data: a ticket-team dashboard manual, the dashboard design draft behind it, a programming exercise report, a website comparison and its summary post.

Artefact Type Module What it demonstrates
Unit 12 — Final Project: Ticket Team Dashboard Manual PDF Visualising Data A 20-page dashboard manual for a ticket-team reporting dashboard, including the manual purpose, case studies and dashboard design.
Unit 9 — Dashboard Design Draft PDF Visualising Data A dashboard design draft addressing the lack of a visual overview of a business ticket system used by customer support and internal IT support.
Unit 8 — Programming Exercise Report PDF Visualising Data A 13-page programming exercise report covering exploratory data analysis, data cleaning and reporting.
Unit 2 — Collaborative Discussion: Website Comparison PDF Visualising Data A structured comparison of two airline booking websites, examining the attributes a viewer looks for, location, dates, price and trip types.
Unit 4 — Summary Post PDF Visualising Data A summary post refining an earlier website comparison in response to peer feedback and further reading.

Data science as a profession

The Data Professional strand: an analytics report and end-of-module assignment on a national transport survey, plus two collaborative discussions on the data/AI/cloud convergence and on data protection.

Artefact Type Module What it demonstrates
The Data Professional — Data Analytics Report PDF The Data Professional A data analytics report on a national transport survey, written to give executives the evidence to improve public transport.
The Data Professional — End of Module Assignment: Data Analytics Implementation PDF The Data Professional A 16-page end-of-module assignment undertaking an analysis of a national transport survey dataset and reporting the results.
Collaborative Learning Discussion 1 PDF The Data Professional A collaborative discussion on the convergence of data, artificial intelligence, cloud, blockchain, IoT and cybersecurity.
Collaborative Learning Discussion 2 — Data Protection PDF The Data Professional A discussion reviewing a data-protection regulation and its implications for how an organisation manages its IT estate.

Statistics & professional practice worksheets

The quantitative worksheets and the collaborative discussion from Research Methods and Professional Practice: hypothesis testing and summary measures in Excel, a charts worksheet, and an ethics discussion.

Artefact Type Module What it demonstrates
e-Portfolio Activity: Hypothesis Testing Worksheet XLSX Research Methods and Professional Practice Hypothesis-testing worksheet with a preparation sheet and worked units 7.1–7.5, using Excel’s Analysis ToolPak.
e-Portfolio Activity: Summary Measures Worksheet XLSX Research Methods and Professional Practice Summary-measures worksheet with a preparation sheet and worked units 6.1–6.3, using Excel’s Analysis ToolPak.
Charts Worksheet XLSX Research Methods and Professional Practice A three-sheet Excel workbook of chart-construction exercises (area, brand and frequency data) used in the quantitative strand of the module.
Collaborative Discussion 1 — Professional Ethics PDF Research Methods and Professional Practice Initial post and contributions examining an ACM case study on manipulative interface design and the professional and ethical questions it raises.

Additional copies at the site root

Three artefacts also exist as byte-identical copies at the root of this site, exactly as they are in the original repository. They are kept and linked here so that nothing in the supplied site is left unreachable.

How these artefacts map to modules

Each artefact is also linked from the module page it was produced for, so it can be found either by theme here or by module in Projects & Modules.