Artificial Intelligence Graduate | Machine Learning & Data Analytics
Artificial Intelligence graduate with a strong foundation in Machine Learning, Data Analytics, Natural Language Processing, and Computer Vision. Skilled in developing predictive models, preprocessing and analyzing data, and building AI-driven solutions using Python. Passionate about solving real-world problems through data-driven decision-making and eager to contribute to innovative AI and machine learning teams.
Gaining practical industry experience in real-world AI and machine learning workflows, including data preprocessing, model development, evaluation, and experimentation.
Strong foundation in AI concepts such as Natural Language Processing, Computer Vision, and Reinforcement Learning, applied to build intelligent systems and AI-driven solutions.
Proficient in preprocessing and analyzing data, developing predictive models, and applying data-driven decision-making to solve real-world problems.
Built an AI-based early risk prediction system for diabetes using clinical and demographic data, covering the full pipeline from preprocessing to model interpretability.
Impact: Evaluated results using Accuracy, Recall, F1-score, and AUC-ROC, and applied SHAP to interpret predictions and identify top risk factors.
Developed classification models to predict breast tumor status (benign vs. malignant) from diagnostic medical data, applying PCA for dimensionality reduction.
Impact: Implemented and compared Linear SVM, RBF SVM, and K-Nearest Neighbors algorithms, evaluating performance using Accuracy, Precision, Recall, and F1-score.
Designed a text classification system to distinguish AI-generated content from human-written text using NLP techniques.
Impact: Applied text preprocessing and feature extraction with Bag-of-Words, training and evaluating Naive Bayes and Logistic Regression models.
Designed and implemented an image classification system for fruit recognition using supervised learning techniques and preprocessing methods.
Impact: Trained and validated the model on labeled image datasets and evaluated performance on unseen test data.
Currently participating in a 6-week remote Machine Learning Engineering internship at FlyRank AI, gaining practical industry experience.
Achieved First Class Honours in Bachelor of Science (Hons) in Artificial Intelligence from the University of Hertfordshire.
Developed an AI-based early risk prediction system for diabetes as a graduation project.
Designed a text classification system to distinguish AI-generated content from human-written text.
Completed a 1-month intensive Machine Learning Course at the University of Hertfordshire.
Provided one-on-one mathematics tutoring at PortSaid British School, strengthening communication and time management skills.