ASI-993/fuel-price-tracker

My first data engineering project - South African fuel price analysis --- ## Tools Used | Tool | Purpose | |------|---------| | Python | Programming language | | Pandas | Data manipulation and cleaning | | SQLite | Lightweight database | | Matplotlib | Data visualization | | Jupyter Notebook | Interactive development | --- ## How to Run 1. Clone this repository 2. Open `01_extract.ipynb` or `02_clean_messy_data.ipynb` in VS Code or Jupyter 3. Run cells sequentially --- ## What I Learned - Building ETL pipelines end-to-end - Data inspection and quality checks - Handling missing values (drop, fill with mean) - SQL querying and aggregation - Pipeline verification (no duplicates, correct counts, outlier detection) - Time series visualization - Git version control --- ## About Me Software Developer currently completing my NQF6 Software Engineering qualification at WeThinkCode_, with a Data Engineering elective. I enjoy building software, solving real-world problems, and continuously learning new technologies. Passionate about using technology to create impact in communities like the one I come from. I also serve as a facilitator for the Digital Inclusion Programme, recruiting and introducing young people to opportunities in the Tech industry.