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  • Procter & Gamble
  • Bucharest, Romania

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gradinarualex/README.md

Hi there 👋

  • 🍍 I love math and economics, programming - especially fused into data science.
  • 💼 I’m currently working on promotional analysis at P&G.
  • 🌱 I’m continously furthering my knowledge on applied data science and programming.
  • 👯 I’m looking to collaborate on data science projects:
    • Recommender Engines
    • Time Series Forecasting
    • Classification Models
  • 📫 How to reach me:

Alex's github stats

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  1. disaster-response-model disaster-response-model Public

    Multi-Output classification model of messages sent during a disaster, that helps identify the need specified in the message.

    Jupyter Notebook

  2. bike-rental-predictions bike-rental-predictions Public

    Machine Learning project that aims to find the best way to predict bike rentals - from feature engineering to model selection.

    Jupyter Notebook 2 1

  3. leaflet-data-extractor leaflet-data-extractor Public

    Project to extract promotional information from retailer catalogues (leaflets).

    Jupyter Notebook

  4. ro-dashboard-app ro-dashboard-app Public

    Online dashboard containing selected list of 8 facts and visuals about my home country using data from the world bank.

    Python

  5. advent-of-code-2020 advent-of-code-2020 Public

    My solutions in python to the challenges of Advent of Code 2020 edition.

    Python 1

  6. starbucks-offer-recos starbucks-offer-recos Public

    ML model to predicts wether a customer would buy a specific product if targeted with a promotional offer.

    Jupyter Notebook