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s4nniyusuf/README.md

Hi, I'm Sanni Yusuf

A Motivated and data-oriented individual passionate about machine learning and artificial intelligence. I'm Currently pursuing a BSc in Statistics at the University of Lagos and actively seeking opportunities in ML, AI, and software development.

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Articles I've written

Datasets I've built (Available on Kaggle)

Languages & tools

Python BeautifulSoup Playwright NumPy Pandas Matplotlib Seaborn scikit-learn spaCy NLTK PyTorch Docker FastAPI

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  1. ClaimCheck ClaimCheck Public

    A Jumia claim verification tool that benchmarks seller's claims from product descriptions against real customer experiences

    Python 5 1

  2. 9jaBallGist 9jaBallGist Public

    9jaBallGist is an AI-powered football content bot that transforms trending football news into engaging Naija Pidgin narratives with street-style banter, built for social media engagement

    Python 2

  3. News-Headline-Classifier News-Headline-Classifier Public

    This is a supervised NLP classification project built using a dataset scraped from Nairaland. The goal of the project is to train a classifier to predict the category of news headlines, such as pol…

    Jupyter Notebook 1

  4. Personality-Type-Detector Personality-Type-Detector Public

    An end-to-end project that predicts a person's personality type (ambivert, extrovert or introvert) based on their behavioral and psychological characteristics. Using features such as social energy,…

    Jupyter Notebook 1

  5. Nairaland-Football-Engagement-Analysis Nairaland-Football-Engagement-Analysis Public

    This project analyses a scraped sport news dataset from Nairaland focusing on top engaging posts. The analysis covers word extraction and engagement-level classification based on the number of view…

    Jupyter Notebook 1

  6. End-to-End-Stroke-Prediction-Web-App-ML-Flask-Tailwind- End-to-End-Stroke-Prediction-Web-App-ML-Flask-Tailwind- Public

    This is an end-to-end prediction project built using Machine Learning + Flask + Tailwind CSS. The goal is to predict stroke risk based on patient health data.

    Jupyter Notebook 1