Python developer and data analyst focused on building practical tools, automation workflows, and data-driven applications.
My work spans backend development, analytics, web scraping, bots, and systems designed to solve real problems cleanly and efficiently.
- I build software with a strong focus on usefulness, structure, and automation.
- My background includes Python applications, FastAPI services, Django projects, web scraping tools, Discord bots, and data workflows.
- I also completed coursework and hands-on projects in CS50x and CS50W, strengthening my foundation in algorithms, Python, SQL, web development, and backend thinking.
- I enjoy turning raw ideas, repetitive tasks, and messy data into clear and usable systems.
I work with data-driven workflows, structured problem solving, and analytical thinking to explore information, support decisions, and build useful technical outputs.
I use Python-based frameworks such as FastAPI, Django, and Flask to build APIs, application logic, and maintainable backend services.
I create tools that collect, clean, and process web data, while automating repetitive steps to make workflows faster and more reliable.
I enjoy building command-driven tools and Discord bots that are interactive, practical, and easy to extend.
My CS50 work reflects hands-on practice across programming fundamentals, problem solving, databases, web development, and application structure.
- GiftMaster — A comprehensive Discord bot project with interactive management features and a web-based summary interface.
- CS50x — Project work across C, Python, SQL, Flask, algorithms, and problem-solving exercises.
- CS50W — Web programming coursework that strengthens your profile in web architecture and application development.
- FastAPI / Django / Scraping Projects — Older and ongoing backend and automation work that reflects practical development experience.
- Building smarter Python automation pipelines
- Improving backend architecture and project structure
- Working on data-oriented and analysis-friendly tools
- Creating clean, reliable, and efficient technical systems
I like software that feels like a well-designed system:
clear logic, useful output, and no unnecessary noise.