Statistician with 1+ years in statistical modeling and business reporting
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Assessing your cultural and operational fit
Statistics graduate from the University of Benin with applied expertise in data analysis, statistical modelling and business reporting. Experienced across projects in healthcare, economic policy and academic research. Comfortable picking up new tools quickly and adapting fast in hands-on, on-the-job settings.
University of Benin
B.Sc. Statistics · Statistics
August 1, 2019 – June 30, 2024
Delta State University
Graduate Teaching Assistant (NYSC)
April 1, 2025 – April 1, 2026
Delta State, Nigeria
Mindrift
AI Data Evaluator
May 1, 2024 – November 1, 2024
India
Healthcare Service Evaluation
January 1, 2023 – June 1, 2024
Contributed to a team research project evaluating patient satisfaction at the UNIBEN Health Centre. Assisted with data collection and helped process survey responses in SPSS. Applied Chi-square and frequency analysis to identify service gaps, and helped produce a report summarising areas of low patient satisfaction.
Google Data Analytics Certificate
June 1, 2026 – Present
National Youth Service Corps (NYSC)
Delta State University
April 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project in healthcare and experience as an AI Data Evaluator demonstrate a breadth of application areas for statistical skills. The Graduate Teaching Assistant role indicates experience in an academic environment and working with diverse groups of students. The 'Most Helpful Student Award' suggests a collaborative and supportive nature. The target role of 'Statistician' aligns well with the candidate's educational background and stated technical skills, indicating a good cultural fit for a data-driven environment.
Soft Skills & Operational Fit
The candidate's profile highlights comfort in picking up new tools quickly and adapting fast in hands-on settings, which suggests a proactive and adaptable work attitude. The 'Most Helpful Student Award' indicates strong peer support and academic leadership, pointing to good collaboration potential. The AI Data Evaluator role suggests attention to detail and logical consistency, which are valuable for data quality and analysis.