Data Gourmet 👩‍🍳📊

Raw Data into Gourmet Insights: Automating culinary data with Python & Jupyter Notebooks.

Data Gourmet is my personal laboratory where culinary arts meet data engineering. This project demonstrates how to automate complex recipe workflows and scaling through ETL processes, bridging the gap between Marketing Tech and Data Analytics.

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🚀 The Tech-Gourmet Workflow

• ETL Pipelines: Extracting culinary data, cleaning "messy ingredients" (datasets), and loading them into structured formats.
• Jupyter Precision: Leveraging Jupyter Notebooks for data exploration, nutritional scaling, and automated recipe generation.
• Marketing Tech Bridge: Applying data analytics to optimize creative content and technical execution.

🛠️ Digital Kitchen (Tech Stack)

• Python 3.13 (The Executive Chef)
• Jupyter Notebooks (The Recipe Lab)
• Pandas (Data Prep & Cleaning)

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📚 Índice de Recetas

• Parchita Gourmet: La receta original optimizada con 500g de pulpa.
• Mousse de Chocolate: Versión cremosa utilizando plantillas Le Biscuit.

Note: All recipes are authentic case studies designed to run within the Jupyter environment.

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Bridging the gap between Business Operations and Technical Execution. 🚀