About
I have a technical background in software development and currently focus on data analysis, data systems, automation, and geospatial applications.
My earlier work gave me experience with application development, databases, APIs, and structured software workflows. Over time, my focus shifted increasingly toward data: how it is collected, structured, validated, analysed, and turned into reliable outputs.
My studies in environmental data have added another dimension to that work. They introduced me to statistical analysis, spatial data, GIS-related problems, and the use of data for understanding real-world systems.
Today, I bring those areas together through projects that combine analytics with stronger technical foundations: SQL data models, automated workflows, data-quality checks, reproducible analysis, and geospatial processing.
Current Focus
Data Analysis
Turning raw datasets into meaningful metrics, comparisons, and decision-ready reporting.
Data Systems
Structuring data flows, models, transformations, and reusable analytical layers.
Automation & Reliability
Reducing manual work through repeatable workflows, validation, testing, and monitoring.
Geospatial Applications
Using spatial data and GIS techniques for accessibility, infrastructure, and environmental patterns.
Tools in practice
How I Work
- Source
- Validate
- Model
- Analyse
- Deliver
I prefer projects where analysis is part of a complete data workflow rather than an isolated notebook or dashboard.
That usually means understanding the source data, validating its quality, modelling it appropriately, analysing the problem, and producing an output that can be reproduced and explained.
I also try to make limitations explicit. A useful analysis should show not only what the data supports, but also where the evidence stops.
What I'm Looking For
I'm interested in roles where I can work with data while continuing to deepen the technical side of analytics — particularly data systems, automation, operational analytics, and geospatial data.
My portfolio focuses on practical projects that demonstrate those capabilities through working systems, analytical models, and documented case studies.
Education
Data Science - Bachelor
Coursework and projects in statistics, data analysis, data workflows, and practical machine learning.
Computer Science - Bachelor
Undergraduate computer science coursework with programming and systems foundations; left the program in 2020 without completing the degree.
Experience
Mobile Developer
API integration with database access and server-backed data exchange against remote services.
Mobile Developer
REST API integration with structured JSON/XML payloads, backend contracts, and application-server data exchange.
Software Developer
Full-stack web delivery with React, Node.js, and MySQL: APIs, persistence, and structured data across services and the database.
Webmaster
Built and maintained websites with structured content, updates, and publishing handoffs.
Continue from here
See practical work, download the CV, or get in touch about data analysis and systems roles.