EBIESUWA ADELEYE GABRIEL

Data Analyst
Lagos, NG.

About

Highly motivated and results-driven Data Analyst with 3+ years of experience leveraging advanced analytical tools including SQL, Python, R, Power BI, and Tableau to transform complex datasets into actionable insights. Proven ability to manage large-scale data projects, develop impactful dashboards, and drive organizational profitability through data-driven solutions. Seeking to apply expertise in a dynamic team environment to optimize operations and deliver sustainable value.

Work

StatiSense Ltd
|

Data Analyst

Summary

Full-time Data Analyst responsible for data research, management, insight generation, and visualization.

Highlights

Led comprehensive data research and sourcing initiatives to identify critical economic and social data points.

Managed and optimized complex databases, ensuring data integrity and accessibility for analytical purposes.

Generated actionable economic and social data insights, directly informing strategic decisions and reporting.

Impacted over 2.5 million users in Nigeria and internationally by providing accessible insights on Nigerian social data.

Designed, developed, and maintained interactive dashboards and reports using Power BI, significantly enhancing data visualization and analytical capabilities.

National Bureau of Statistics
|

Data Analyst, Contract

Summary

Contract Data Analyst focused on data collection, entry, and analysis for national reports.

Highlights

Collected and managed diverse datasets, including NISH, NISE, and food retail prices, for national statistical reports.

Performed accurate and timely data entry for all monthly reports, ensuring data quality and consistency.

Conducted thorough data analysis to support the generation of critical monthly statistical reports, contributing to national economic understanding.

Education

Ajayi Crowther University

BSc.

Statistics

Federal School of Statistics

HND

Statistics

Grade: Distinction

Awards

Best Class Representative

Awarded By

Federal School of Statistics

Acknowledged as the best class representative for two consecutive years.

Best Class Representative

Awarded By

Federal School of Statistics

Acknowledged as the best class representative for two consecutive years.

4 times Analyst of the Month

Awarded By

Statisense

Recognized four times for outstanding performance as Analyst of the Month.

Best Academic Student, Statistics Department

Awarded By

Federal School of Statistics

Awarded as the top academic student in the Statistics Department.

Overall Best Academic Student

Awarded By

Federal School of Statistics

Recognized as the overall best academic student across all disciplines.

Certificates

Learning Data Analytics

Issued By

LinkedIn Learning

How to Set Your Course Goals

Issued By

Udemy

Critical Thinking

Issued By

LinkedIn Learning

Brand Booster Workshop

Issued By

Phenom

Skills

Data Analysis & Visualization

SQL, Tableau, Power BI, Data Visualization, Data Analysis, Reporting.

Programming & Statistical Tools

Python, R, Latex, SPSS, STATA, Statistical Modeling.

Data Management & Quality

Data Research, Data Sourcing, Database Management, Data Cleaning, Data Sorting, Data Validation, Data Quality Assessment.

Office Productivity

Microsoft Excel, Microsoft Word, Microsoft PowerPoint.

Soft Skills

Communication, Writing, Problem Solving, Teamwork, Independent Work, Critical Thinking, Data Collation.

References

References

Available upon request.

Projects

Development of an Education System in Nigeria

Summary

A project focused on developing and enhancing an education system in Nigeria through comprehensive data aggregation and analysis.

Multivariate Analysis on Family Type (Monogamous and Polygamous) Domestic Violence Among Women

Summary

A research project involving multivariate analysis to study the prevalence and factors of domestic violence among women in different family structures.

Regression Analysis of Admitted and Discharge Patient Infected with Pneumonia

Summary

An analytical project applying regression techniques to study patient data related to pneumonia admissions and discharges.