Data Analyst
Turning data into clear, actionable insight.
I analyse complex data and build decision-ready dashboards. A background in mathematics and years of tutoring experience help me explain findings in a way anyone can follow.

Ibrahim Adeyemi Yusuf
Quantitative thinking. Clear communication.
About
Data analysis, made understandable.
I am a data analyst with a strong quantitative foundation, grounded in a B.Sc. (Ed.) in Mathematics Education.
My work centres on data cleaning, validation, modeling, KPI reporting, and decision-ready dashboards built with Power BI, SQL, Python, and Excel.
Years of mathematics tutoring taught me to break complex ideas down step by step — the same skill I use to explain dashboards and findings to non-technical audiences.
Analytical practice
SQL, Power BI, Excel, Python, data cleaning, modeling, validation, and business intelligence reporting.
Clear communication
Explaining dashboards and analysis to non-technical audiences — a strength built through years of mathematics tutoring.
Capabilities
A practical toolkit for analysis and communication.
Built through portfolio work, enterprise-scale simulations, and hands-on practice.
Business intelligence
Programming & databases
Excel & reporting
Selected work
Analytics projects built around real questions.
End-to-end work spanning data preparation, calculation logic, and interactive reporting.

CASE STUDY / 01
Multi-Hospital Lab Operations & Clinical Triage Analytics
An end-to-end, four-page Power BI application built from 1,500 laboratory records across three hospitals and three test types. The work combined Python/Pandas and Power Query data cleaning with DAX-based clinical classification.
- Hospital workload and monthly test-volume analysis
- Critical result classification against supplied reference ranges
- Patient-level clinical triage and Patient 360 drillthrough

CASE STUDY / 02
Retail Performance Analytics Dashboard
An interactive Power BI dashboard analysing 2023 retail performance across revenue, quantity sold, Average Order Value, product category, customer gender, age groups, and monthly sales trends.
- Power Query preparation and 2023 reporting-scope validation
- DAX calculations for AOV and customer age segmentation
- KPI cards, product comparison, and customer demographic views
More analytical work
DataSimHQ Simulation Portfolio
Enterprise-scale simulations covering SQL scripts, Power Query transformations, Excel models, data auditing, and executive-ready reporting.
Experience
Professional experience.
August 2026 – Present
Junior Analyst · Simulation Track
Data Analytics Simulation Program — DataSimHQ
- Completed enterprise-scale analytics projects spanning SQL scripts, Power Query transformations, and Excel models.
- Audited messy relational datasets and built decision-ready reports for executive presentation.
2019 – Present
Mathematics Tutor
Independent
- Designed Excel-based student performance trackers and analysed assessment data to identify learning gaps.
- Produced progress reports and communicated data-driven insights to students and parents.
- Managed quantitative performance data across multiple international curricula using structured assessments.
Education & credentials
A strong quantitative foundation.
University of Lagos · Graduated 2024
B.Sc. (Ed.) Mathematics Education
Second Class Upper Division (2:1)
Relevant coursework: Statistics, Probability Theory, Numerical Analysis, Linear Algebra, and Quantitative Logic.
Data Analytics Simulation Program — DataSimHQ
Google Certified Educator — Level 1 & Level 2 (2026)
SQL & Python for Data Science — SoloLearn
Contact
Let’s discuss data, business intelligence, or your next analytics project.
I’m open to data analyst and business intelligence opportunities.