Internal tools & web applications
Custom Django-based systems for teams that need more than a simple website — including authentication, relational data models, workflow logic, dashboards, and multi-user functionality.
Available for client projects · Newcastle, UK
Modern websites, web apps and internal tools,
built for real-world business use.
Fraser Analytics designs and builds practical web applications, internal tools, and modern websites for businesses in Newcastle and beyond. The focus is on clear workflows, dependable functionality, and digital products that are genuinely useful day to day.
Python · Django · React · PostgreSQL
Web apps · Internal tools · Websites
Structured workflows · Clean interfaces
Interest in regulated and process-driven environments
Current stack
Building with
Python
Django
PostgreSQL
React
HTML/CSS
JavaScript
Flask
Supporting tools and technologies
Pandas
NumPy
scikit-learn
Data visualisation
Deployment platforms
Heroku
GitHub Pages
Cloudflare Pages
Railway
Supabase
Services
Practical software and websites for real-world use
Fraser Analytics helps businesses and teams build dependable digital tools that solve genuine operational problems — from modern websites and client-facing platforms to internal systems with structured workflows and clear interfaces.
Business websites
Clean, responsive websites designed to present your business clearly and professionally. Ideal for small businesses, independent brands, and organisations that need a polished web presence without unnecessary complexity.
Technical builds & workflow-focused solutions
Software shaped around how work actually happens — with an emphasis on clarity, maintainability, and structured delivery. Particularly suited to process-driven environments where good system design and dependable behaviour matter.
Focus
Data, analytics, and AI-adjacent systems
Alongside client work, I am continuing to deepen my knowledge in data, analytics, and AI-related tooling, with a particular interest in practical applications for structured and process-driven environments.
Current focus
Data and analytics capability
Building deeper capability across the Python data stack, including data handling, visualisation, and introductory machine learning workflows, with an emphasis on practical implementation rather than theory alone.
Pandas
NumPy
scikit-learn
Matplotlib
Emerging area
Applied AI and ML tooling
I am exploring how machine learning and AI-oriented tooling can complement software engineering work, particularly in environments that benefit from structured data, traceability, and operational clarity.
ML fundamentals
Applied AI
Engineering
Interest in regulated software
I have a strong interest in software used in regulated and process-driven environments, where auditability, access control, and data integrity matter. It is an area I am continuing to develop, and one that increasingly informs how I think about systems design.
How I work
Practical delivery, clear scope
I prefer working software, visible progress, and clear decisions over unnecessary complexity. This is how I typically approach a project from first conversation to launch.
01
Understand the problem
What actually needs solving? Who uses it and in what context? What does success look like?
02
Define scope clearly
Agree what is in and out before writing code. Lightweight requirements and clear acceptance criteria.
03
Build and show progress
Working increments, visible progress, real feedback, and testing where it matters. You see the solution take shape as it develops.
04
Deploy and hand over cleanly
A clean deployment, clear documentation, and a handover that makes the finished product understandable and maintainable.
Get in touch
If you need a website, internal tool, or web application, get in touch with a brief outline of what you are trying to build.