Project Architecture Diagrams

A full-stack system that scrapes multiple online stores for computer parts, compiles and compares prices, and applies predictive models to estimate prices across different shops. The project includes a frontend for visualization and model interaction, integrated with a backend and a database for efficient querying.

A data collection system designed to track customer demographics and purchase trends for a local cookie business. Data is processed and visualized in BI tools, with dashboards providing insights into customer behavior, sales trends, and profitability.

An analysis of real-world climate and agriculture data to assess the impact of climate variables on crop yields. The project uses SQL for data exploration and time series models to evaluate multi-variable interactions and forecast trends.

A cost-efficient AWS-based system for evaluating weather forecast reliability by collecting hourly data from six cities via an API. Designed to operate with minimal expenses, it uses AWS Lambda for data extraction, S3 for storage, and AWS Glue and Athena for processing. Optimizations like Parquet conversion improve performance while keeping costs low.