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Achievement: Pull SharkAchievement: Quickdraw

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0layiw0la/README.md

Hi there 👋

I am Olayiwola, a Data Scientist who loves telling stories through data. My interests lie in the world of data science, where I enjoy exploring information and extracting valuable insights and building machine learning models that solve real problems. I am proficient in using SQL, Python, Excel, PowerBI, I enjoy the analytical process. My curiosity drives me to delve deeper into datasets, seeking meaningful patterns and trends.

  • 🌍 Im based in Nigeria
  • 👀 Data Science
  • 🤝 I am open to collaborating on data science projects and eager to join forces in exploring the vast possibilities this field has to offer
  • ✉️ You can reach me at abdulrahimibrahimolayiwola@gmail.com

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MY GITHUB STATS

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  1. Text_summarizer Text_summarizer Public

    A streamlit app that uses BART and NLTK for text summarization and sentiment analysis.

    Python 1

  2. Ribbon-Analysis Ribbon-Analysis Public

    This data set for this analysis was provided by SocialBlaze. The data contains key data on ribbon's operations from july 6th to august 5th a range of 32 days, This data will be used to access the a…

  3. British-Airways-virtual-internship British-Airways-virtual-internship Public

    British airways the forage task where i web scrapped customer reviews on the internet and performed sentiment analysis on them, developed a predictive model to determine if a customer would complet…

    Jupyter Notebook

  4. Spotify-most-streamed Spotify-most-streamed Public

    This project uses EDA techniques to analyse the most famous songs of 2023 as listed on Spotify. What they are and what it would take to join thier ranks.

    Jupyter Notebook

  5. House-price-prediction House-price-prediction Public

    Using machine learning techniques to predict house prices. Also looking into what makes a house more expensive.

    Jupyter Notebook

  6. Amazon-Data-Science-Books-EDA Amazon-Data-Science-Books-EDA Public

    I perform eda in pyhton to suggest the best books for learning python(in relation to data science) and ML on amazon. The data contains book names prices, ratings, weight,publisher etc.

    Jupyter Notebook