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Zekwan Zekwanahmed

Data Analysis

Addis Ababa,Ethiopia

Personal Information

Name Zekwan Zekwanahmed
Address Addis Ababa,Ethiopia

Job Experience

Data Collector

Sep 2025 - Mar 2026
Ethiopia Statistical Service - Dire Dawa

Key Responsibilities Conducted household-level interviews and collected accurate demographic, social, and economic data from respondents. Implemented field data collection activities according to survey guidelines, procedures, and quality standards. Used digital data collection tools (smartphones/tablets) to capture, validate, and submit survey information. Explained survey questions clearly to respondents and ensured proper understanding before data recording. Reviewed collected data for completeness, consistency, and accuracy before submission. Maintained confidentiality and followed ethical standards during data collection. Prepared daily progress reports and communicated field challenges to supervisors. Collaborated with supervisors and team members to achieve survey targets within deadlines. Key Achievements Successfully collected and submitted high-quality survey data while meeting assigned fieldwork targets. Improved data accuracy by carefully reviewing responses and correcting errors during field verification. Gained practical experience in large-scale household surveys, data quality control, and field research activities. Developed strong skills in communication, problem-solving, and working effectively in diverse communities. Supported evidence-based decision-making by providing reliable data for statistical analysis and reporting.

Education and Training

Bachelors Degree

Sep 2021 - May 2025
Haramaya University - Harar, Ethiopia

Statistics

Completed a Bachelor of Science degree in Statistics with strong foundations in statistical theory, data analysis, probability, research methods, and statistical modeling. Developed skills in data collection, data cleaning, analysis, interpretation, and visualization for evidence-based decision-making. Applied statistical software and tools including R, SPSS, Excel, and other data analysis techniques through academic coursework and projects. Gained knowledge of survey methods, sampling techniques, regression analysis, statistical inference, and report writing. Conducted academic research and analyzed datasets to identify patterns, trends, and meaningful insights. Relevant Coursework: Statistical Methods Probability Theory Sampling Techniques Regression Analysis Time Series Analysis Research Methodology Data Management Statistical Computing Data Visualization

Other Skills

Statistical Data Analysis Skill / Competency: Proficient in analyzing, interpreting, and presenting quantitative data using statistical methods and analytical tools. Data Collection & Survey Methods Skill / Competency: Experienced in household surveys, field interviews, questionnaire administration, and maintaining data quality standards. Data Cleaning & Management Skill / Competency: Skilled in preparing, validating, organizing, and managing datasets for accurate analysis and reporting. Statistical Software (R, SPSS, Excel) Skill / Competency: Knowledge of statistical computing, data analysis, visualization, and report generation using R, SPSS, and Microsoft Excel. Data Visualization & Reporting Skill / Competency: Ability to create clear reports, charts, and visual summaries to communicate data insights. Digital Data Collection Tools Skill / Competency: Familiar with KoboToolbox, ODK, SurveyCTO, CSPro, and mobile-based data collection platforms. Research Methods & Quantitative Analysis Skill / Competency: Knowledge of sampling techniques, survey design, statistical inference, and research data analysis. Microsoft Office Suite Skill / Competency: Advanced working knowledge of MS Excel, Word, and PowerPoint for documentation and analysis. Communication & Team Collaboration Skill / Competency: Strong ability to communicate with respondents, work with teams, and support field research activities. Problem Solving & Attention to Detail Skill / Competency: Ability to identify data issues, ensure accuracy, and deliver high-quality results under deadlines.
Status
Published
Visibility
Public
Last updated
Jul 23, 2026
Views
6
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