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Akinlabi Akinkunmi

@akinlabiakinkunmi

I build reliable data, KPI reporting, and decision-ready insights using SQL, Power BI, Python, and rigorous quality controls.

Nigeria

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What I'm looking for

I'm looking to own end-to-end analytical work that improves data quality, KPI reporting, forecasting, and decision-making across complex business datasets.

At CMRG, I build data-quality standards and reporting practices that keep client analytics accurate, traceable, and ready for decision-making. I run daily quality control and consolidation across 200,000+ records per cycle, alongside Power BI and Excel KPI reporting.

I've delivered trend, variance, anomaly, and segmentation analysis for FMCG, telecoms, energy, and B2B clients. My clustering work identified five customer profiles and supported a targeting strategy that achieved an 18% higher campaign response rate.

Previously at ADAC Data Consult, I reduced reporting-system incidents by 20%, improved report turnaround by 15%, and supported a 5% improvement in client conversion rates through multi-source performance analysis.

Experience

Work history, roles, and key accomplishments

Current

Data and Research Associate

Current

Communication and Marketing Research Group (CMRG)

Mar 2025 - Present (1 year 7 months)

Built data-quality standards and documentation practices for client datasets, ran daily quality control on 200,000+ records, and developed Power BI and Excel dashboards for KPI tracking and management reporting. Delivered trend, variance, and anomaly analyses to inform client planning and strategy.

SQL Power BI Excel Data Quality Data Governance KPI Reporting Trend Analysis Variance Analysis Anomaly Detection KMeans Clustering Hierarchical clustering A B Testing DAX Power Query

Data Analyst

ADAC Data Consult

Dec 2022 - Feb 2025 (2 years 2 months)

Implemented validation controls across the reporting pipeline, reducing reporting-system incidents by 20%. Built and maintained Power BI and Excel dashboards using DAX and Power Query, and conducted trend, variance, and year-on-year analysis on multi-source datasets.

SQL Power BI Excel DAX Power Query Data Validation Trend Analysis Variance Analysis YoY Growth Python Report Automation

Research Assistant

Innovation for Poverty Action (IPA)

Jan 2024 - May 2024 (4 months)

Cleaned and analyzed 500+ household survey responses in SPSS and Stata under systematic sampling protocols, contributing to a peer-reviewed publication.

SPSS Stata Data Cleaning Survey Analysis Systematic