Travis Chapple
MSc* Big Data Analyst, BSc Computer Scientist
Personal Statement
A Course Leading & Motivated MSc Big Data Analytics student at Sheffield Hallam University, with a strong foundation in Computer Science and a practical understanding of full-stack development, data analysis, and team-based projects.
I bring hands-on experience in Python, SAS, and data-driven programming with a focus on real-world applications, including AI/ML for medical image analysis and full-cycle software delivery using C#, React, and ASP.NET. My academic background is complemented by projects involving clustering algorithms, mobile-friendly interfaces, CRUD functionality, and visual analytics.
In parallel, my role at Tesco has honed vital soft skills in communication, stakeholder engagement, and leadership under pressure, skills I believe are essential for contributing effectively in cross-functional teams. I am eager to contribute to mobile app development, real-time data integration, and analytics reporting within a dynamic team, while gaining deeper exposure to cloud platforms, IoT integration, and modern development frameworks.
Experience
- Beginning to End Implementation of a Live Data Mobile Application for Machine Data
- iOS, Android, Google Cloud Platform, Database Design
- Headhunted by Senior Lecturers for a lead development role
- Mentoring BSc Students
- Recognised by management for leadership and problem-solving
- Regularly led departmental teams to meet KPIs and improve operations
- Selected to implement and promote new store-wide initiatives
- Strengthened interpersonal skills and stakeholder satisfaction focus
Education
Overall: 120/180 Credits (74.64%) ā 61% Required for Distinction
- Data Analytics Tools and Techniques (88%) ā Applied statistical BI with SAS, Data ETL Processes, Regression and Classification Techniques
- Data Driven Python Programming (83%) ā NumPy, Pandas, SciKit Learn, and Graphical Visualisation Tools
- Project Management & Study Skills (74%, Pending) ā Real World Project Methodologies and Case Studies
- Advanced Data Management (63.7%) ā Large-scale SAS Project, Tableau, HDFS
- Master's Thesis (Pending) ā Design and Implementation of a Non-Contact Sensor System for Fibre Deployment Data Acquisition with Aerospace Cutting Tools Ltd. Very High Chance of Patent and Publication
- Dissertation: Analysing Retinal Images for Glaucoma using Simultaneous Modelling and Clustering Techniques, AI, ML and Neural Networks (2:1)
- Advanced Software Projects, Project Leads and Backend Development using C#, Python, and C++
- Artificial Intelligence & Machine Learning ā First-class
- Strong emphasis on Python, Neural Networks, and Computer Vision
Featured Projects
Glaucoma Detection System
Clustered Computer Vision with Artificial Intelligence and Machine Learning to Detect and Diagnose Glaucoma to Help Lower Optometrist Waiting Times.
Stock Trading AI System
Trading Funds on NASDAQ and FTSE using AI, ML and Neural Networks to Profit Greater than Inflation over 67 Years.
Access for All Charity Platform
ASP.NET Group Project for UK-based Charity Access for All, where I led Agile Software Development against a Strict Week Deadline.
Computer Vision Applications
Computer Vision Projects with Real Applications such as Number Plate, Facial and Pattern Recognition.
School Registration System
React Software Project, Creating a School Registering System, with CRUD functionality.
Skills
Technical Skills
- ā¢ Python (7+ years) ā AI/ML, data wrangling, web development
- ā¢ SAS ā Business Intelligence & analytics reporting
- ā¢ Data Visualisation ā Pandas, MATLAB, reports & dashboards
- ā¢ SQL, MATLAB, ASP.NET (C#)
Business & Soft Skills
- ā¢ Excellent communicator (verbal & written)
- ā¢ Experienced in leading Agile team projects
- ā¢ Stakeholder engagement
- ā¢ Business requirement gathering
- ā¢ Strong time management & attention to detail
Leadership & Extracurricular
- Coffee & Code Society (Lead, Final year) ā Organised collaborative programming sessions
- Volunteered in peer mentoring and student support
Awards & Recognition
- W.H. Bacon Award for Academic Excellence
- Subject Nominee ā Computer Science