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Data Analyst with less than a year in data analysis and visualization
Detail-oriented Entry-Level Data Analyst with practical experience in data collection, cleaning, transformation, analysis, and visualization. Proficient in Microsoft Excel, SQL, Power BI, and Google Sheets for generating insights that support business decision-making. Strong analytical, problem-solving, and reporting skills with a commitment to accuracy and continuous learning. Passionate about using data to drive organizational growth and improve performance.
University of Nigeria, Nsukka
B.Sc. (Ed.) Chemistry · Chemistry
August 1, 2018 – June 30, 2018
Project-Based Experience
Data Analyst
January 1, 2026 – Present
India
Witness Report: Street Trading and Road Obstruction at Ngwa Road New Market (Ahia Ohuru)
January 1, 2026 – Present
Aba.
Comparative Analysis of Academic Performance of Direct Entry and JAMB Students (2014-2016)
January 1, 2014 – December 31, 2016
Department of Chemistry, Alvan Ikoku Federal College of Education, Owerri.
Google Data Analytics Certificate
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project experience, while limited, shows diversity in academic and professional contexts (academic performance analysis, witness report analysis). The 'Project-Based Experience' as a Data Analyst aligns well with the target role. The pursuit of the Google Data Analytics Certificate demonstrates initiative and a growth mindset, which are positive indicators for cultural fit. However, the overall breadth of experience is limited, which might impact adaptability to diverse team environments without further development.
Soft Skills & Operational Fit
The candidate's resume highlights 'Attention to Detail & Problem Solving' and a commitment to 'continuous learning'. The psychometric test score of 318/500 suggests moderate performance in areas like logical reasoning, work attitude, stress handling, and team collaboration, which are important for operational fit. Further validation during interviews would be beneficial.