Professional Overview
Bachelor of Science in Information Technology graduate with hands-on experience in Python, machine learning, data analysis, and AI application development. Developed a breast cancer classification project using Python, Scikit-learn, Logistic Regression and Streamlit to classify tumors as malignant or benign, achieving approximately 96% accuracy. Also built an AI assistant and worked on data-driven projects involving machine learning models, feature analysis and evaluation. Experienced with Python, Pandas, NumPy, Scikit-learn, Streamlit, SQL, PHP and web technologies, with additional exposure to cloud computing and cybersecurity through practical AWS and Microsoft Azure training. I enjoy solving real-world problems with data and AI and am seeking remote opportunities in AI/ML engineering, data science, analytics, model evaluation and AI-focused software development.
Areas of Expertise
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
