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esther matthew

@esthermatthew

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I turn raw data into dashboards, insights, and business recommendations.

Nigeria

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What I'm looking for

I'm looking for remote, hybrid, or relocation opportunities where I can build dashboards, analyze data, and translate findings into practical business recommendations.

I've delivered end-to-end analytics projects across manufacturing, banking, retail, and customer behaviour, using SQL, Python, Excel, and Power BI to turn raw data into clear business recommendations. At Excelerate, I cleaned 8,558 learner-opportunity records across 71 countries, built predictive models with an AUC-ROC of 0.985, and created Power BI dashboards for programme performance.

I've also built an Excel MIS tracking 234 ICT assets at NIMASA, developed dashboards for manufacturing downtime and cyclist behaviour, and created a SQL churn-analysis pipeline for 10,000+ banking customer records. I share beginner-friendly data analytics articles on Medium and Substack to help aspiring analysts understand practical tools and projects.

Experience

Work history, roles, and key accomplishments

AI Data Analyst Intern

Excelerate

May 2026 - Jul 2026 (2 months)

Cleaned and transformed 8,558 learner-opportunity records using Python and Power Query to build an analysis-ready dataset across 71 countries. Engineered features and built Logistic Regression, Random Forest, and XGBoost models achieving an AUC-ROC of 0.985.

Python Power Query Logistic Regression Random Forest XGBoost Power BI Data Cleaning Feature Engineering Data Validation Dashboard Development Data Storytelling

Freelance Excel Tutor

Self Employed

Apr 2026 - Apr 2026 (0 months)

Taught data cleaning, formulas, PivotTables, and basic data modelling, enabling a learner to independently analyse and report on data.

Excel Data Cleaning Data Modeling Formula Spreadsheets Teaching

Information Technology Intern

NIMASA

Apr 2025 - Sep 2025 (5 months)

Built an Excel-based MIS to track 234 ICT assets, replacing manual record-keeping with automated dashboards and KPI reporting. Analyzed inventory data to identify procurement gaps and support data-driven resource allocation.