Data analyst transitioning into data science through end-to-end data systems.
An end-to-end data pipeline that collects supermarket food prices and prepares them for analytics and forecasting.
Web scraping
↓
Cloud PostgreSQL
↓
Data cleaning
↓
Time series forecasting
↓
Interactive dashboard
Python
SQL
PostgreSQL
Web Scraping
Data Engineering
Time Series Forecasting
Streamlit
Food price monitoring
Economic forecasting
Humanitarian data analytics
Data-driven decision systems
Building a Food Price Intelligence System that:
- Scrapes daily supermarket prices
- Stores historical prices in PostgreSQL
- Tracks price changes over time
- Prepares datasets for forecasting models
- Visualizes trends in dashboards
Food Price Intelligence System (work in progress)