Senior Data Analyst with over 5 years of experience using tools such as Microsoft Excel, Power BI, SQL, SPSS, Stata, and Python.
LinkedIn: Agbontaen Eseosa
This healthcare operations and quality operations dashboard will allow stakeholders to gain a comprehensive
understanding of hospital operations, quality, and staff performance, with each page focusing on a specific but
connected aspect of healthcare management.
This project involves the creation of a Power BI dashboard for a retail store with branches across different countries. The dashboard provides insights into sales performance, customer and order analysis, and product analysis
The Analyst-E Online Store Dashboard contains a financial hub displaying key revenue metrics, trends, and detailed breakdowns by various business dimensions, powered by interactive slicers and dynamic charts. It also has a logistical tracker that monitors the delivery process timeline, evaluates efficiency, and visualizes delivery performance trends over time.
For this personal portfolio project, I took on the role of a BI Developer for a customer service department at a major bank. The goal was to create an interactive dashboard to help managers track and improve their team's performance in handling customer tickets and complaints.
Discover how service speed drives customer loyalty more than pricing and product quality in retail. Analysis of 238 customers reveals a 20% service improvement yields 11% behavior boost. Data-driven insights for strategic resource allocation in retail customer satisfaction.
The Profit and Loss Dashboard by Analyst-E provides a comprehensive overview of the financial performance of a business, covering its headquarters, branches, and online operations. The dashboard features various visualizations and data presentations for a detailed analysis of different business segments.
This project involved data cleaning and transformation of a wide-format unstructured dataset to a structured long-format table, ensuring data integrity by handling null values, duplicates, data types, and inconsistencies through SQL queries.
When you’re trying to understand customer retention, calculating churn is one of the most crucial metrics. But what happens when you need to look back in time to see how well your business was doing at retaining customers? That’s where things can get tricky.
This project analyzes the performance of Nigeria's agricultural exports, focusing on various products such as sesame, cocoa, cashew, rubber, plantain, cassava, palm oil, and ginger.
This project analyzes Twitter responses to identify why Nigerians are emigrating, using thematic analysis to uncover key themes such as police harassment, economic and healthcare concerns, personal safety, political issues, and the search for better opportunities.