I am an AI and Machine Learning Engineer, Data Analyst, and Researcher with practical experience in building data-driven solutions using Python, deep learning, and advanced analytical techniques. I help clients transform raw and complex data into clean datasets, reliable models, meaningful visualisations, and professionally documented results.
My expertise includes machine learning, deep learning, data preprocessing, exploratory data analysis, feature engineering, predictive modelling, model optimisation, and performance evaluation. I work with Python, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Matplotlib, and Seaborn. I also have hands-on experience with CNN, LSTM, BiLSTM, transformer-based methods, and federated learning.
I have a strong interest in healthcare AI and bioinformatics. My research experience includes cancer genomics, DNA sequence analysis, mutation-based classification, privacy-preserving machine learning, and clinical prediction. I can support projects involving genomic datasets, medical data analysis, classification models, research proposals, literature reviews, methodology development, experimental evaluation, and technical reports.
My services include machine learning and deep learning model development, data cleaning and visualisation, classification and predictive analytics, healthcare AI, bioinformatics, DNA sequence analysis, model evaluation, Python notebooks, research documentation, Flutter application development, and WordPress solutions.
I deliver organised code, explanations, reproducible workflows, and practical results that clients can understand and use.
Whether you need help with AI, data analysis, healthcare research, bioinformatics, application development, or technical writing, please send me a message. I will discuss your goals, recommend a suitable approach, and provide a solution tailored to your requirements.
