Data analyst with expertise in Python, Excel, SQL, PowerBI. Passionate about Problem-solving and continuous learning. Open to new challenges and collaboration
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Pizza-Sales-Analysis-
September 28, 2025 – September 28, 2025
Data Science course project analyzing pizza sales using Python. Covers exploratory data analysis, visualization, and key business insights.
View ProjectPowerBI_OmniRetail-Customer-Satisfaction-and-Loyalty-Analysis
August 12, 2025 – August 12, 2025
Power BI dashboard analyzing OmniRetail’s customer satisfaction and loyalty behavior. Created as my entry for the July Onyx Data Challenge, this project explores the key drivers of customer retention, brand loyalty, and satisfaction across demographics and locations.
View Projectaderonke101.github.io
July 25, 2025 – October 18, 2025
Personal portfolio website showcasing selected data analysis projects using Python, SQL, Power BI, and Excel.
View ProjectExcel-Fintech-Customer-Performance-Intelligence
July 15, 2025 – July 15, 2025
A multi-dimensional dashboard built in Excel to analyze customer behavior, transaction trends, and revenue distribution using fictional Nigerian fintech data. It highlights channel usage, age and gender patterns, success rates, and regional performance insights, all crafted using PivotTables, slicers, and storytelling design.
View ProjectMSSQL_AdventureWorks2012_SQL_Exercises
July 12, 2025 – July 12, 2025
This repository contains a comprehensive collection of SQL queries practiced using the AdventureWorks2012 database. It covers real-world data exploration, manipulation, and analysis scenarios to build and reinforce SQL skills. This project demonstrates my understanding of core SQL concepts using practical business datasets.
View ProjectExcel-Sales_Performance_Analysis
July 10, 2025 – July 10, 2025
A detailed Excel dashboard analyzing sales performance (2017 vs 2016), uncovering why profit dropped by 57% despite an 8% sales growth. Includes visual insights, pivot tables, and strategic recommendations for business improvement.
View ProjectPowerBI_Precision-Mapping-of-Nigeria-s-Food-Inflation
July 3, 2025 – July 3, 2025
A Power BI project analyzing Nigeria's food inflation using real market data. Includes seasonal price trends, market volatility, and PowerBI inbuilt based forecasting with actionable insights and policy recommendations.
View ProjectPowerBI_Global-Superstore-Analysis
June 18, 2025 – June 18, 2025
A comprehensive Power BI analysis of the Global Superstore dataset, uncovering key performance drivers, profitability challenges, and customer trends across major regions like the USA, Nigeria, Australia, and Southeast Asia. Designed to support data-driven decision-making in global retail strategy.
View ProjectPowerBI-Marketing_Campaign_Performance_Analysis
May 15, 2025 – May 15, 2025
This is a PowerBI dashboard and DAX model for analyzing Mave Marketing's Campaign Performance. It Includes Customer Segmentation, Product spend analysis, Channel comparison, and key insights on campaign effectiveness and customer behavior.
View ProjectExcel-HR_Analytics
January 16, 2025 – July 13, 2025
This project focuses on analysing employee data to extract meaningful insight using excel. It includes key metrics related to employee performance, retention, and workforce demographics. A comprehensive README file is attached to the project, providing detailed instructions and explanations on how to navigate the dataset and replicate the analysis.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data analysis and visualization, which aligns with aspects of a Data Scientist role. However, the projects are predominantly personal and lack diversity in terms of team collaboration or complex, large-scale data science problems (e.g., machine learning, predictive modeling). The focus is heavily on descriptive analytics rather than advanced analytical techniques, which might indicate a gap for a senior Data Scientist role. The candidate's experience level is listed as 0, which further suggests a junior profile.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest an ability to present findings clearly, which is a positive indicator for communication.