
I’m a Data Science graduate passionate about turning data into actionable insights. I’ve worked on projects in data cleaning, predictive modelling, and visualisation using Python, SQL, Power BI, and Tableau. I’m now looking for an entry-level Data Analyst or Data Scientist role where I can keep learning, contribute to meaningful projects, and help drive data-informed decisions.
Participated in design and planning exercises for future software rollouts.
Network essentials – Cisco
Python for everybody – Coursera
Introduction to HTML and CSS – Coursera
Cisco CCNA – Introduction to Network Certification
Excel Essential Training (Microsoft 365) - Linkedin
I worked on predicting high-impact weather using machine learning and numerical models. I built and tested predictive models, analysing large datasets to improve forecast accuracy. By refining and optimising these models, I helped make weather forecasts more reliable and actionable.
By analyzing historical match data, we explore patterns and insights to gain a deeper understanding of how soccer games unfold.
We developed a Raspberry Pi autonomous vehicle that uses Python and machine learning to detect lanes in real time, demonstrating innovative autonomous navigation technology.
Developed anti-sleeping glasses using motion sensors and EEG technology to detect drowsiness and alert users in real time for enhanced safety.
Designing an Efficient Database Schema for a Comprehensive Fitness Tracking and Management Systemding of how soccer games unfold. urban population growth.
Built an online grocery store with HTML, Python, and JavaScript, providing a smooth and user-friendly shopping experience.