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  • Copenhagen, Denmark
  • 21:30 (UTC +01:00)
  • LinkedIn in/allanreda

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allanreda/README.md

Hi there πŸ‘‹

πŸš€ I'm passionate about machine learning, automation, data engineering, and cloud deployments
πŸ’» My expertise includes Python, R, and SQL
βš™οΈ I enjoy building both data-driven solutions and smaller web applications

πŸ” I'm constantly exploring new ways to harness the power of data, whether through building ETL pipelines, developing predictive models, or deploying apps in the cloud.

Check out my repositories to see my previous work!

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  1. myldretid-kbh.dk myldretid-kbh.dk Public

    ML-based traffic level predictor for Copenhagen rush hours. Includes a live, user-friendly website powered by GCP ML pipelines, CI/CD automation, and Terraform-based IaC.

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  4. Danish-Car-Price-Predictor Danish-Car-Price-Predictor Public

    A Gradio machine learning application that predicts Danish car prices. Project includes web scraping, feature engineering, model creation and deployment

    Python

  5. Telco-Customer-Churn-Predictor-App Telco-Customer-Churn-Predictor-App Public

    A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on G…

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  6. Copenhagen-Traffic-and-Weather-ETL-Pipeline Copenhagen-Traffic-and-Weather-ETL-Pipeline Public

    A fully automated ETL pipeline that fetches and stores real-time traffic and weather data in BigQuery, with a live Looker dashboard for visualization.

    Python