Welcome to my creative space, where ideas come to life! Here you'll find a showcase of my projects, each reflecting my passion for learning and building. From late-night coding sessions to designs inspired by coffee-fueled brainstorming, every project has a unique story. Explore the innovative solutions and creative breakthroughs that make my work so exciting. Join me on this journey of prototypes, polished products, and the occasional "try again" moments that make it all worthwhile.
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Portfolio Website
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Using Python and Django, I built my portfolio website to highlight my skills, history, and projects. The homepage offers an overview of my expertise, while the history page features an interactive Folium map showcasing all the places I've lived, studied, and worked. This map can be filtered by country, providing a dynamic view of my global journey.

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Home Server
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I built a home server using an Intel NUC and Terramaster RAID storage, running Proxmox and Ubuntu Server. It hosts several services: Heimdall for dashboard management, Pi-Hole for ad blocking, HomeAssistant for home automation, and Notifiarr to send notifications to my Discord server about updates and issues. This setup keeps my digital life organized and my home smart and connected.

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Bin Collection Reminder
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This project helps me remember which bins to take out on collection days. Instead of using an app, I utilized my phone's built-in calendar. By scraping the necessary data such as dates and bin colors, I created a CSV file to import into Google Calendar. This simple solution provides timely reminders without the need for an additional app.

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Fullstack Developer Masterclass
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As part of the Full Stack Developer Masterclass, I created websites using Python, Django 5, HTML, CSS, and Bootstrap. This project aims to showcase my skills through a portfolio website. The course, available on Udemy, guides learners in full-stack development. The repository includes a devcontainer setup with Python 3.12 and useful VSCode extensions, requiring only Docker and Docker Compose to get started.

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Big Data with Pyspark
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Implemented a Docker container with Jupyter Lab for running Spark and Python for Big Data tasks with PySpark, including Spark Streaming, Machine Learning, and Spark 2.0 DataFrames. Detailed setup available on the readme. After cloning the repo, run make help for more information. Manage files and dependencies efficiently using make run-notebook. Happy exploring!

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Postgre Docker
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Explore a Dockerized playground featuring PostgreSQL with pgAdmin for GUI and Flyway for migrations. Ideal for learning or app development, configure via docker-compose. Perform database backups using pg_dump; future integration with Flyway for schema management. See make file for details.