
Description:
I developed this end-to-end simulation environment to master the complexities of data orchestration and real-time visualization. This project serves as a technical showcase for an integrated data pipeline using generated datasets to simulate real-world traffic and system performance.
Technical Highlights:
Data Generation & Simulation: Developed custom Python scripts to generate high-volume synthetic datasets, simulating real-time user activity and system logs for testing purposes.
Processing Pipeline: Built an automated pipeline using Pandas to perform data cleaning, normalization, and stress-testing under simulated 'outlier' conditions.
Advanced Engineering Dashboard: Created a high-fidelity interactive dashboard (React/Streamlit) to monitor engineering KPIs such as System Health, Data Integrity, and API Response Times.
Predictive Modeling: Integrated a Linear Regression model to forecast system trends based on historical 'dummy' data patterns.