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Shola-Ayeotan/README.md

Hi there, I'm Oluwanishola Ayeotan 😎

About Me

  • 👀 I'm a data enthusiast, passionate about exploring data, numbers, and the stories behind them.
  • 🌱 I’m always improving my core technical skills, and getting better with each project I take on.
  • 💞️ Eager to collaborate on data-driven projects of any size, use case, or innovation.
  • 📫 You can reach me anytime at ayeotanofficial@yahoo.com. I'm always up for a conversation, whether it's about data, projects, or just to say hi!
  • 🤝 If you have a project in mind, by all means, please let's connect and create something awesome together!

Connect with me:

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Languages and Tools:

Python R SQL Seaborn Scikit_learn Polars Pandas PowerBI Tableau

My GitHub Stats

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GitHub Streak

Pinned

  1. TiiQu-Network/QnA TiiQu-Network/QnA Public

    Question and Answer

    Jupyter Notebook 2 3

  2. Graph-Based-Recommender-System Graph-Based-Recommender-System Public

    Built a recommender system, recommending the best products for eCommerce shoppers based on their purchase and search history

    Jupyter Notebook 5

  3. Customer-Predictive-Model Customer-Predictive-Model Public

    This project used ensemble machine learning algorithms to predict customer subscriptions to financial products offered by a Portuguese Bank. The goal was to conduct a comprehensive analysis from en…

    Python 1

  4. Customer-Propensity-to-Purchase Customer-Propensity-to-Purchase Public

    Used propensity modeling to forecast user behavior and identify users who require incentives to make a purchase.

    Jupyter Notebook

  5. Global-Economic-Scorecard-with-Time-Series Global-Economic-Scorecard-with-Time-Series Public

    An in-depth and thorough exploration of global economic trends using data obtained from the World Bank's World Development Indicators. Using a combination of statistical and visual analysis, patter…

    R 1

  6. Household-Energy-Consumption Household-Energy-Consumption Public

    This project explored patterns in household electricity consumption to inform sustainable energy practices, using K-Means and Agglomerative Hierarchical Clustering techniques on an energy usage dat…

    Jupyter Notebook