📶 Synthetic Datasets: Telecom
The web app creates realistic, customizable datasets for telecom analysis, testing, or machine learning, supporting up to 1 million records per dataset and 2TB of data with Python scripting. Featuring real-time data generation (refreshed every 5 seconds), ETL processing (cleaning, deduplication, validation, enrichment), and Chart.js-powered dashboards, it covers 13 key areas like customer demographics, network performance, revenue, churn, and sustainability, with export options in CSV, Excel, and JPG. Ideal for optimizing telecom operations, building ML models, or simulating industry data—contact me for a tailored dataset for any industry!