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s4nniyusuf/README.md

Welcome to My GitHub

Hi, I'm Sanni Yusuf

I'm a Statistics student at the University of Lagos (UNILAG) and an aspiring Machine Learning Engineer with hands-on experience building end-to-end machine learning pipelines from data collection and analysis to model deployment.

My keen interest lies in applied machine learning problems and building ML-powered systems that solve real-world challenges. My work spans data scraping, exploratory data analysis, feature engineering, model training, evaluation, and deployment.

I'm currently open to machine learning internships and collaborations.

Articles I've written

Technical Skills

  • Data Collection: Web scraping with BeautifulSoup
  • Data Analysis & ML: NumPy, Pandas, Seaborn, Scikit-learn
  • Model Deployment: Streamlit, FastAPI

Interests

  • Applied Machine Learning

  • ML-powered systems & backend integration

Pinned Loading

  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