Wuese Haaor

Detail-oriented data professional with an M.Sc. in Statistics and hands-on experience supporting data collection, cleaning, validation, analysis, reporting, and visualization. Proficient in Microsoft Excel, Google Sheets, Power BI, SQL, and Python (Pandas, NumPy). Experienced in working with structured datasets, identifying missing or inconsistent records, preparing reports and visualizations, and translating data into clear insights.

Strong analytical, problem-solving, communication, and teamwork skills with a strong willingness to learn and contribute in a fast-paced, remote environment.

Graduate Intern, Data & Monitoring - National Social Investment Programme (NSIP) Office

(2016-01 - 2020-12)

• Supported the collection, entry, verification, and organization of programme and beneficiary data.
• Maintained and updated large volumes of administrative records using Microsoft Excel.
• Conducted routine data quality checks and identified missing, inconsistent, or inaccurate information for correction.
• Prepared data summaries and monitoring reports to support programme activities and decision-making.
• Assisted with organizing information from field activities and maintaining accurate programme records.
• Handled confidential information while ensuring accuracy and timely completion of assigned tasks.

Data Entry Assistant - State Local Government Pension Board

(2014-01 - 2015-12)

• Entered, updated, and verified pension records with a strong focus on accuracy and completeness.
• Identified and corrected data-entry errors and inconsistencies.
• Assisted with compiling administrative reports and maintaining reliable records.

M.Sc. - Statistics - Federal University of Agriculture, Makurdi (2018-12)

B.Sc. - Statistics/Computer Science - Federal University of Agriculture, Makurdi (2012-12)