Recent MSc Artificial Intelligence graduate specialising in machine learning and natural language processing. Proficient in Python, SQL, and Scikit-learn, with hands-on experience building predictive models and analysing complex datasets. Brings 5+ years of professional experience in high-volume content curation, where accuracy, analytical problem-solving, and deadline-driven delivery were critical.
Technical Skills
Professional Skills
Music Emotion Recognition (MSc Dissertation) – Birmingham City University — 2025
- Conducted a comparative analysis of machine learning models (SVM, Random Forest, k-NN, Logistic Regression, Decision Tree, XGBoost) on a pre-extracted acoustic feature dataset.
- Implemented models in Python (Scikit-learn, XGBoost) and evaluated performance using macro F1-score to handle class imbalance.
- Delivered insights on feature importance and clustering of emotion groups for music datasets.
Diabetes Onset Prediction (Course Project) – Birmingham City University — 2024
- Built predictive models using TensorFlow/Keras on Pima Indian dataset, improving accuracy through preprocessing and hyperparameter tuning.
- Compared deep learning results with traditional ML baselines for medical prediction tasks.
Offensive Language Detection in Tweets (Course Project) – Birmingham City University — 2024
- Developed a classification model with Random Forest and SMOTE to handle imbalanced datasets.
- Applied NLP preprocessing (tokenization, lemmatization, vectorization) to improve text classification accuracy.
Additional projects available on GitHub.