Computer Science Student, currently working as a Junior Data Analyst and refining my programming skills. In my spare time, I'm finishing my Computer Science Degree and coding little projects whenever I find a free moment.
| Key Notes | Details |
|---|---|
| Current Role | Junior Data Analyst |
| Education | BSc Computer Science (Applied Data Science) - Final Year |
| Location | UK |
Here are a few things I've been working on:
- Tech Stack: Svelte, Python (FastAPI), Supabase
- Built a modern, reactive web application.
- Frontend: Svelte for a fast and responsive user interface.
- Backend: Python with FastAPI for high-performance API endpoints.
- Database: Integrated Supabase for real-time database management and authentication.
- Tech Stack: Python, Machine Learning
- Developed a complete Python implementation of the card game "Cambio" (also known as Cabo).
- Built the game logic to simulate matches and generate datasets.
- Currently using this environment to train a Neural Network to play the game optimally.
- Tech Stack: Python, Computer Vision
- A Computer Vision project utilizing the OpenYolo architecture.
- Focused on object detection and image processing workflows using Python.
- C++: Working on "becoming cracked" at C++ to deepen my fundamentals of computing and work on software.
- Boot.Dev: Currently enrolled in the GoLang path on Boot.Dev to work on my backend programming skills as well as computing fundamentals (Git, Linux, Docker).
- Python: Focusing on core programming principles, data structures, and standard data analysis libraries (e.g., NumPy, Pandas).
- Applied Data Science: Deepening my understanding of statistical analysis, data cleaning, and visualization techniques. Using tools such as WEKA and Python libraries for machine learning and computer vision.
- Godot Engine: Actively learning the Godot engine and its scripting language (GDScript) to understand game loop architecture, 2D/3D development, and physics.