ADAMU ABUBAKAR

Junior Data Analyst | Data Entry Officer

Makurdi, NG.

About

Highly analytical Statistics graduate holding a Second Class Upper degree, adept at leveraging data for informed decision-making and operational efficiency. Proven expertise in data entry, cleaning, analysis, and reporting using Microsoft Excel, SPSS, and R, with practical experience in health information management and statistical research. Eager to contribute strong analytical skills and meticulous attention to detail as a Junior Data Analyst or Data Entry Officer.

Work

Kogi State Ministry of Health

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SIWES Intern – Health Information and Management Unit

, Kogi State, Nigeria

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Summary

Managed comprehensive data processes for health information and statistical reporting within a government ministry, contributing to public health initiatives.

Highlights

Streamlined data collection, entry, and validation processes, ensuring high integrity and accuracy of health records and statistical information.

Generated comprehensive statistical reports and health data documentation, facilitating informed decision-making for public health initiatives.

Maintained 100% data accuracy and organized complex datasets, enhancing accessibility and reliability for critical research and planning.

Provided critical data handling and reporting support for planning and research activities, directly contributing to evidence-based public health strategies.

Education

Nasarawa State University, Keffi

Keffi, Nasarawa State, Nigeria
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B.Sc. Statistics Grade: Second Class Upper

Languages

English

Certificates

3MTT NextGen Fellow

Workshop Certificate in SPSS and Microsoft Excel

B.Sc Statistics

Skills

Data Analysis & Tools

Microsoft Excel (Data Entry, Data Cleaning, Analysis, Visualization), SPSS, R Programming, Statistical Analysis, Data Management, Report Writing.

Core Competencies

Attention to Detail.

Projects

Time Series Analysis and Forecasting of Monthly Malaria Incidence

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Summary

Conducted an in-depth academic project utilizing time series analysis to forecast monthly malaria incidence, providing critical insights for public health interventions.