Oluwabusola Oyenuga Claim this profile

This is an end-to-end data analytics portfolio project simulating a real-world credit bureau analysis for a Nigerian financial institution. The project covers the full analyst workflow — from synthetic data generation and data cleaning, through SQL analysis, to an executive Power BI dashboard.

A collection of real-world data analytics work completed during my Data Analyst Internship at Melisport Nigeria, a sports brand operating across retail and community channels. Every deliverable here was built from scratch to support business decisions around market expansion, prospect targeting and performance tracking

This project involves a deep dive into e-commerce data to analyze website performance, marketing channel efficiency, and product profitability. Using SQL, I extracted insights from thousands of user sessions and orders to identify growth patterns, conversion bottlenecks, and refund risks.

A simulated end-to-end analyst project for NovaMart, a multi-channel retailer operating across Nigeria and Ghana. Built to mirror real analyst work: synthetic data generation, data cleaning, SQL analysis, and a two-dashboard Power BI story.

A Power BI dashboard built to diagnose delivery failures, vendor reliability and revenue concentration across SwiftHaul Logistics Nigeria's operations for 2023–2024.

This project is a full end-to-end data analytics case study completed during the Excelerate 2026 virtual internship. The dataset came from DePaul University's Slate CRM system and contains 7,543 international graduate applications spanning 95 countries and 153 programs.

Data analytics project analyzing financial wellness among young Nigerian professionals which includesurvey design, Python data cleaning and EDA, SQL, and a Power BI dashboard. Built a 0–100 Financial Wellness Score across budgeting, saving, emergency funds, investing, and literacy for 308 respondents.

This project aims to identify the demographic characteristics of customers who are most likely to purchase a bicycle. By analyzing factors such as income, age, marital status, and commute distance, I developed a data-driven profile of the "ideal" bike buyer to help target marketing efforts more effectively.

A Power BI dashboard analysing sales performance for Nama Fruit Corner across four international branch locations (UK, Italy, USA, France) from 2019 to 2021.

Excel dashboard analyzing Nigerian staple food price inflation (Nov 2024–May 2026), reveals a 24.7% YoY staple basket deflation masked behind CBN's +16.96% national food inflation figure.

This repository contains all the four projects completed during my DecodeLabs internship.

Profile