Adetola Adekoya'
Portfolio

I’m a Data Analyst with a background in Computer Science and Artificial Intelligence. I'm skilled in using Python, SQL, Excel, Tableau, and Power BI to clean, analyze, and visualize data, whilst also delivering clear insights that stakeholders can act on. My experience spans across data preprocessing, exploratory data analysis, feature engineering, and statistical modeling. I help businesses identify trends, reduce risks, and optimize performance. What excites me most is the opportunity to bridge the gap between data and decision-making; whether it’s through building dashboards, creating validation frameworks, or collaborating with cross-functional teams to deliver data-driven solutions.
@adetola-adekoya

Marketing Analytics

This project presents an end-to-end marketing analytics solution built for an online retail business experiencing declining customer engagement and conversion rates despite actively running new marketing campaigns. The objective was to conduct a detailed analysis of the business's marketing and customer data, identify the root causes of underperformance, and deliver actionable recommendations through an interactive Power BI dashboard. The full pipeline covers data extraction and transformation in Microsoft SQL Server, sentiment analysis in R, and final visualisation and reporting in Power BI.

Churn Rate
in E-commerce

In this project, we used SQL for data cleaning and manipulation, while tableau was used for data visualization.
Our analysis revealed that 25.7% of customers churned, a significant portion that calls for targeted retention strategies.
To understand the factors responsible for this churn rate, we examined multiple behavioural and demographic factors.

Ace Superstores Sales Analysis
with Python

This project explores ACE Superstore’s sales data to uncover actionable insights on regional performance, the impact of discount strategies, and product profitability, helping to identify growth opportunities and optimize business decisions. The project was completed using Python for exploratory data analysis (EDA), leveraging Pandas for data cleaning and manipulation, and Matplotlib and Seaborn to create clear, insightful visualizations.

Healthcare providers Analysis
With Power BI

This Healthcare Billing Dashboard is a data-driven solution developed in Power BI to provide hospitals and healthcare providers with deeper insights into their financial performance. Healthcare systems generate vast amounts of billing and patient data, but without proper analysis, it becomes difficult to identify cost drivers, optimize resource allocation, and evaluate departmental efficiency. This project bridges that gap by transforming raw billing data into actionable insights through interactive visualizations.