I am a data scientist passionate about the environment and sustainable development. My goal is to use my data analysis skills to promote sustainable practices and help make informed, data-driven decisions.

• Languages: Python, SQL
• Tools: Metabase, Jupyter Notebook, Pandas, Airflow, Flask
• Platforms: Google BigQuery, Google Cloud Platform (GCP)

I am deeply passionate about the environment and strongly believe in sustainable development. I am constantly looking for ways to apply data analysis to solve environmental problems and promote sustainability.

I am continuously improving my skills and learning new technologies. My areas of interest include:

• Data Analysis: Extracting and analyzing data to gain valuable insights.
• Machine Learning: Applying predictive models to solve complex problems.
• Sustainability: Using data to promote sustainable practices and assess environmental impact.
• Workflow Orchestration: Utilizing Airflow to automate and manage data pipelines, as well as Flask for building web services for data loading processes.
• Big Data: Working with Google BigQuery and GCP to handle and analyze large volumes of data.

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