Florida Retail Sales & Weather Impact Analysis (Power BI)

End-to-end Power BI analysis of retail performance across four Florida cities, uncovering how weather patterns, customer segments, and seasonality influence sales, with actionable insights for revenue optimization and strategic decision-making.

Dozik Communications Ltd – WordPress E-Commerce & Repair Services Website

Designed & built a fully responsive e-commerce site for Dozik Communications Ltd, a phone accessories & repair business in Lagos. Features include product catalogues (accessories, parts, smart devices), secure checkout, repair booking, pickup & delivery, and mobile-first UI that balances visual appe

Bridging Expectations and Realities: Data-Driven Insights into Nigerian Students’ International Education Journeys

This project explores the gap between aspirations and lived experiences of Nigerian students studying abroad, using survey data gathered during the TINE Africa Summit 2024. Through comparative analysis, it highlights key discrepancies in areas such as financial expectations, and cultural integration

NCE Prime: WordPress eCommerce Design & Build

Built a fully responsive, visually engaging e-commerce site for NCE Prime, an Afro-contemporary ready-to-wear fashion brand. Designed using WordPress + WooCommerce, the site includes product galleries, shopping cart & checkout flow, styled product pages, mobile-first interface and optimized visuals

Transforming the Funding Landscape of Nigerian Universities

This is a research project that identifies the major sources of funding for public universities in Nigeria, in a bid to discern discrepancies, funding loopholes, and unexplored opportunities, to help equip key resource-persons, and universities at large to improve funding, and sponsorships.

Solving Water Crisis in MAJI NDOGO

Solving Water Crisis in MAJI NDOGO, is a data analysis project, of an AI-generated country experiencing a water crisis was studied using Jupyter Notebook with iKernel. The project utilized MySQL as the database to store and interact with the data. Python pandas were employed during analysis.

Mobile app solution for improved quality of curriculums in schools and job creation for university graduates

Google slides of Mobile app solution for improved quality of curriculums in schools and job creation for university graduates

2022 Forbes List Analysis using python in Jupyter Notebooks

The project entails analyzing data from the Forbes list for the year 2022 using Python programming language within Jupyter Notebooks. The focus of the analysis was based on gaining more insight into the richest individuals, companies, and countries with a particular reference to Africa, and Nigeria