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  • 📍 Coventry, UK.

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victoriyayeotobo/README.md

Hi, I'm Victor Otobo 👋

🎓 MSc Data Science student at Coventry University
🧠 Passionate about Machine Learning, NLP, and Computer Vision
🔍 Focused on building real-world AI solutions that are practical, fair, and insightful


🚀 What I Do

  • Build machine learning models for tasks like language detection, time-series prediction, and income classification
  • Work on projects that combine deep learning and statistical thinking
  • Explore fairness, interpretability, and real-world performance — not just accuracy

🧪 Featured Projects

  • InventoryAI: Full-stack inventory management platform with AI-powered demand forecasting
  • Glucose Level Prediction: LSTM, GRU, CNN models for healthcare time-series forecasting
  • Offensive Language Detection: ML-based NLP pipeline using SMOTE + XGBoost
  • Income Classification: Compared fairness and computational cost across multiple classifiers

View all repos 👉 My GitHub Projects


🛠️ Tools I Work With

Python · scikit-learn · TensorFlow/Keras · Jupyter · SQL · Tableau
pandas · NumPy · matplotlib · Google Colab · Git


📬 Let’s Connect

I'm open to collaborations, internships, and junior ML/DS roles.
Let’s build things that work — and matter.

Pinned Loading

  1. ANN-CW1 ANN-CW1 Public

    Binary classification using Artificial Neural Networks with dropout and regularization to evaluate performance in a health-related dataset.

    Jupyter Notebook

  2. InventoryAI InventoryAI Public

    Forked from dev-huddle/InventoryAI

    Jupyter Notebook

  3. Modelling-CW Modelling-CW Public

    Exploring probabilistic modelling and parameter estimation using Approximate Bayesian Computation (ABC) on brain signal data.

    Jupyter Notebook

  4. NLP-CW1 NLP-CW1 Public

    Detecting offensive language in tweets using classical machine learning models with SMOTE balancing.

    Jupyter Notebook

  5. Statistics Statistics Public

    Building and comparing nonlinear regression models to predict brain signal responses using polynomial fitting and statistical evaluation methods.

    Jupyter Notebook