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Ramatu SulemanaRS
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Ramatu Sulemana

@ramatusulemana

Data Analyst specializing in data visualization and statistical analysis to drive better decisions.

Ghana
Message

What I'm looking for

I’m looking for a Data Analyst role where I can turn complex data into clear dashboards and statistical reports, support strong data validation, and help teams make faster, better decisions.

I’m a results-driven Data Analyst with expertise in data visualization and statistical analysis, strengthened through hands-on work cleaning, transforming, and validating datasets.

I transform complex datasets into structured, decision-ready reports. I conduct end-to-end analysis, interpret results using statistical techniques, and merge information from multiple sources to improve access and reporting.

My work emphasizes data reliability and usability: I perform data cleaning and data validation, build dashboards for clear understanding, and use RStudio for data manipulation tasks. I also analyze and compile statistics for current financial development plans.

I’m comfortable contributing across the data lifecycle—from collecting business intelligence data to testing analytics-related software and troubleshooting issues. I bring strong problem-solving, meticulous data validation habits, and a drive to improve outcomes through better data.

Experience

Work history, roles, and key accomplishments

SC

Data Analyst

SAR Educational Complex

May 2024 - Jan 2025 (8 months)

Cleaned and transformed raw datasets into structured formats, merging multiple spreadsheets to build centralized exam reports and improve access to student information. Developed dashboards and performed statistical, financial, and data validation work to support robust reporting and project progress updates.

Education

Degrees, certifications, and relevant coursework

Kumasi Technical University logoKU

Kumasi Technical University

Undergraduate, Data Science

2025 - 2028

Grade: 2.2647 (GPA)

Undergraduate student in Data Science, completing coursework including predictive modeling, data manipulation, and machine learning. Recognized for strong analytical thinking and efficient data mining.

Tech stack

Software and tools used professionally

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