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This repository focuses on conducting weekly analyses of European Reddit data. It employs a data pipeline orchestrated with Airflow, scheduled to run on a weekly basis.

Python 99.47% Dockerfile 0.53%
airflow airflow-dags astro-cli data-engineering docker etl-pipeline powerbi praw python reddit supabase

reddit-european-analysis's Introduction

import os

class IlyesDjerfaf:

    def __init__(self):
        self.name = "Ilyes DJERFAF"
        self.location = "Paris"
        self.education = "Data Science Student @ University Paris Saclay"
        self.occupation = "Apprentice Data Scientist @ Safran Aircraft Engines"
        self.current_focus = "LLMs"
        self.current_projects = ["Code Generation enhanced by Behavior Driven Development",
                                 "Social Media Content Filtering Tool"]

    @contactme
    def connect(self):
        return {
            "LinkedIn": "https://www.linkedin.com/in/ilyesdjerfaf",
            "Mail": f"{os.getenv("firstname")}.{os.getenv("lastname")}@universite-paris-saclay.fr"
        }


if __name__ == "__main__":
    iam = IlyesDjerfaf()
    print("Contact me:")
    for platform, url in iam.connect().items():
        print(f"{platform}: {url}")

reddit-european-analysis's People

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