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πŸ” Key Features:

  • Data Engineering: Connects and computes data with advanced "packs". 🌐
  • Data Management: Custom dashboards for data aggregation and analysis. πŸ“Š
  • Data Science: Generates synthetic datasets and assesses model conformity. 🧬
  • Data Governance: Comprehensive dashboards for KPIs, source cataloging, and metadata management. πŸ”

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πŸ› οΈ Technical Stack:

  • Backend: Python FASTAPI, ORM SQL Alchemy, Pydantic. 🐍
  • CLI: Python with Click library for efficient operation. πŸ–₯️
  • Frontend: NextJS for a dynamic user interface. πŸ’»

🎯 Goal:

To provide an all-encompassing platform for managing data quality, enhancing research, and strategies.

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