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airflow

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This ETL (Extract, Transform, Load) project employs several Python libraries, including Airflow, Soda, Polars, YData Profiling, DuckDB, Requests, Loguru, and Google Cloud to streamline the extraction, transformation, and loading of CSV datasets from the U.S. government's data repository at https://catalog.data.gov.

  • Updated Dec 10, 2023
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Alumni Profile Matching is a project aimed at facilitating networking between graduate students and alumni with similar backgrounds and career goals. By leveraging machine learning techniques and data processing pipelines, the project aims to provide graduate students with personalized recommendations of alumni profiles to connect with.

  • Updated Jul 11, 2023
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