Lagos, NigeriaOpen to opportunities

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 in professional attire

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.

Data analytics

ETLData cleaningExploratory data analysisData validationData quality auditingKPI reporting

Business intelligence

Power BI DesktopDAXPower Query (M)Data modelingDashboard designDrillthrough

Programming & databases

PythonPandasNumPyMatplotlibJupyter NotebookPostgreSQLMySQLSQL

Excel & reporting

PivotTablesSUMIFSCOUNTIF / COUNTIFSDynamic formulasFinancial reconciliationStakeholder reporting

Selected work

Analytics projects built around real questions.

End-to-end work spanning data preparation, calculation logic, and interactive reporting.

More on GitHub
Power BI hospital operations dashboard showing test volume and monthly trends

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
Power BIDAXPythonPandasPower QueryExcel
View project on GitHub
Power BI retail performance dashboard showing revenue, product and customer analysis

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
Power BIDAXPower Query
View project on GitHub

More analytical work

DataSimHQ Simulation Portfolio

Enterprise-scale simulations covering SQL scripts, Power Query transformations, Excel models, data auditing, and executive-ready reporting.

View data analytics portfolio

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.