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VictorLJay/README.md

Hi there, welcome to my GitHub profile

👨🏽‍💻 I'm Víctor López and I'm currently diving deep into the 📈 Data Analytics and Data Science world.

🗂 Here you can find the main projects I have worked, mainly with Python, and a description of them:

  • 🎧 Song Recommender: Using Web Scraping and Spotify API, developed a clustering song recommender based on their song features.
  • 🎞 Netflix Content Analysis: Analysis and Hypothesis testing of Netflix Content.
  • 💰 Customer Churn Predictor: Supervised & Deep Learning Models for customer churn prediction, able to detect 90% of the churned customers on the test model

If you have any suggestion, you can reach me on my 📥 LinkedIn profile.

Extra Information

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  1. Song-Recommender Song-Recommender Public

    Song recommender built end-to-end combining BeautifulSoap4 and Spotify API

    Jupyter Notebook

  2. Netflix-Content-Analysis Netflix-Content-Analysis Public

    Forked from ta-data-bcn/Project-Week-5-Your-Own-Project

    Analyzed Netflix data and scrapped IMDB webpage in order to extract insights from it

    Jupyter Notebook 1

  3. Customer-Churn-Predictor Customer-Churn-Predictor Public

    Forked from ta-data-bcn/Project-Week-8-Final-Project

    Churn analysis predictor, combining TensorFlow and Supervised Machine Learning

    Jupyter Notebook