Travis Chapple
MSc Big Data Analyst, BSc Computer Scientist
Personal Statement
A proactive self-starter and recent graduate of Computer Science BSc (2:1), complemented by an officially awarded Distinction in MSc Big Data Analytics (78% overall). I bring a strong practical foundation across back- and front-end development, with experience in Python, .NET, C#, C++, Java, JavaScript, and SQL.
I am highly adaptable, quick to learn new tools, and comfortable identifying areas for my own development. My technical foundation includes architecting serverless data pipelines, integrating LLMs, and deploying structured web applications such as my live personal portfolio. I also bring strong delivery and stakeholder skills from over eight years at Tesco, and proven experience acting as a primary technical liaison for real industrial clients.
Experience
- Acted as the primary technical liaison, using agile tools and techniques to estimate work, prepare sprints, and deliver outputs on time for an industrial client.
- Architected a live data visualisation ecosystem, connecting a scalable GCP backend to a cross-platform mobile application.
- Planned and organised my own work while mentoring a collaborative squad of three BSc developers and reporting progress to research leads.
- Over 8 years of frontline experience, with excellent communication skills and leadership directly recognised by UK CEO Ashwin Prasad.
- Consistently planned and organised departmental operations and resource forecasting during high-pressure peak trading shifts.
- Identified process improvements and areas for personal development while supporting teams across multiple departments.
Education
Official Distinction ā 78% overall average
- Data Analytics Tools and Techniques (88%) ā Applied statistical BI with SAS, ETL processes, regression, and classification techniques.
- Data Driven Python Programming (83%) ā NumPy, Pandas, SciKit Learn, and graphical visualisation tools.
- Advanced Data Management (63.7%) ā Large-scale SAS project, Tableau, and HDFS.
- Project Management & Study Skills (74%) ā Real-world project methodologies and case studies.
- Dissertation ā Design and implementation of a non-contact sensor system for fibre deployment data acquisition with Aerospace Cutting Tools Ltd.
2:1 Honours ā 68.5%
- Dissertation: Analysing retinal images for glaucoma using simultaneous modelling and clustering techniques, AI, ML, and neural networks.
- Advanced software projects and backend development using C#, Python, and C++.
- Artificial Intelligence & Machine Learning ā First-class module performance.
- Strong emphasis on Python, neural networks, and computer vision.
Featured Projects
TrueNAS SCALE Fan Controller
An open-source Python background daemon for homelab automation, using a tuned PID loop for drive-array cooling and low-level signal handlers to restore motherboard BIOS control on shutdown.
End-to-End Industrial IoT System (MSc Thesis)
Full-stack telemetry capture system with a live mobile frontend, a scalable GCP backend, and offline-first design for industrial data acquisition.
Live AI Conversational Agent & Web Platform
Structured portfolio chatbot integrated into the live portfolio site, using server-side OpenAI API integration and secure environment variable handling.
Glaucoma Detection System
Clustered computer vision with artificial intelligence and machine learning to detect and diagnose glaucoma and help lower optometrist waiting times.
Access for All Charity Platform
ASP.NET group project for a UK-based charity, where I led agile software development against a strict week deadline.
School Registration System
React software project creating a school registration system with CRUD functionality.
Skills
Technical Skills
- ā¢ Python (Advanced) ā AI/ML, automation, data wrangling, web development
- ā¢ .NET / C# ā Full stack application development
- ā¢ JavaScript, C++, Java, and SQL
- ā¢ Cloud & data pipelines ā Google Cloud Platform, Firestore, RESTful APIs
Business & Soft Skills
- ā¢ Excellent communicator (verbal & written)
- ā¢ Agile delivery, estimation, and task planning
- ā¢ Stakeholder engagement and progress reporting
- ā¢ Team collaboration and mentoring
- ā¢ Strong time management, adaptability, and attention to detail
Leadership & Extracurricular
- Coffee & Code Society (Lead, Final year) ā Organised collaborative programming sessions and peer mentoring
- Acted as a primary technical liaison for real industrial clients and mentored a squad of three developers
- Volunteered in peer mentoring and student support
Awards & Recognition
- W.H. Bacon Award for Academic Excellence
- Subject Nominee ā Computer Science
- MSc Big Data Analytics ā Distinction (78% overall)
- First-class module performance in Artificial Intelligence & Machine Learning