Projects
SmartWrist Database System — University of Dundee Group Project
This university group project involved collaboratively designing and implementing a centralized database system for a global smartwatch company. Working as a coordinated team, we divided responsibilities across research, requirement analysis, data modeling, ER diagram design, normalization, and SQL development to ensure an efficient and scalable system. Through continuous communication, shared problem-solving, and structured task management, we successfully created a relational database capable of managing employees, customers, products, inventory, orders, and payments across multiple international branches. The project demonstrated strong teamwork, technical coordination, and collective decision-making while applying real-world database design principles in a professional development setting.
BellaBeat Project
Bellabeat is a pioneering femtech company dedicated to enhancing women’s health through innovative, data-driven wellness solutions. As a manufacturer of stylish wearables like the Leaf and Ivy trackers and companion apps, Bellabeat empowers users to monitor daily activities, cycles, sleep, and overall well-being, fostering a more synchronized and informed approach to personal health.
BrightThreads Boutique
Analyzed retail sales and marketing data to identify spending patterns, forecast website traffic, and segment customers using regression and clustering models. Delivered actionable insights to support a 10% sales growth strategy using the OSEMN data analysis framework
Pet Store Sales Analysis Dashboard
This project presents an interactive dashboard built from a cleaned transactional dataset. The data was processed and prepared using spreadsheet data-cleaning techniques and SQL-style queries to remove inconsistencies, correct errors, and structure the dataset for analysis. The dashboard visualizes key sales insights such as product performance, category trends, and revenue distribution, demonstrating practical skills in data cleaning, querying, and data visualization.
The Challenges Of Electric Vehicle Adoption in the UK
An overview of the key challenges affecting electric vehicle adoption in the UK, with discussion on charging infrastructure, affordability, consumer perception, and recommendations for improvement
Exploring global startup funding and unicorn valuation trends using R.
In this project, I analyzed a global dataset of 5,000 high-growth startup companies to explore patterns in funding, valuation, industry performance, and investor activity. Using R, I performed data cleaning, exploratory data analysis, and visualization to identify trends such as the relationship between funding rounds and company valuation, industry-level investment concentration, and geographic differences in startup growth rates. The analysis provided insights into which sectors attract the most capital, how investor involvement impacts growth, and how startup ecosystems vary across countries. This project demonstrates skills in data manipulation, statistical exploration, and business-focused data storytelling using R.
Github projects
A collection of my web development projects.
2025
