Self-motivated and responsible final-year Bachelor of Computer Science student and a qualified Data Science intern with strong work ethic and a passion for data-driven problem solving. Proficient in Python, R, and SQL, with a focus on machine learning and statistical analysis. I’m keen to apply my technical expertise to generate actionable insights, support business goals, and grow alongside the evolving tech landscape.
Worked on a university project simulating a real-world tech company, focusing on athlete wearable technology. I contributed to two key sprints: analyzing optimal running times using performance metrics, where I helped clean data, build visualizations, and develop a Random Forest-based recommendation system; and exploring sleep efficiency by evaluating how lifestyle factors affect recovery. I supported model building, performance evaluation, and ensured insights were practical for real-world training and recovery tools.
Data Science Professional Certificate by IBM
Diploma of Information Technolgy Certificate by Deakin College