Data Analyst with 6+ years in Data Visualization & Statistical Analysis
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Assessing your cultural and operational fit
Results-driven Data Analyst and Statistics Graduate (HND Upper Credit) with expertise in transforming complex datasets into actionable business insights. Proficient in SQL, Power BI, and Advanced Excel, with a strong focus on revenue optimization and process improvement. Proven ability to manage data integrity projects and deliver high-impact visualizations to support strategic decision-making.
The Polytechnic, Ibadan
HND in Statistics · Statistics
August 1, 2016 – June 30, 2019
The Polytechnic, Ibadan
ND in Statistics · Statistics
August 1, 2014 – June 30, 2016
Federal Polytechnic, Ado-Ekiti
Graduate Assistant (NYSC)
January 1, 2021 – December 31, 2022
India
National Bureau of Statistics
Field Enumerator
January 1, 2017 – December 31, 2018
India
Correlation Analysis and Spatial Modeling of GPS-Based Data
June 1, 2026 – Present
Designed research framework and applied statistical models to evaluate geographic data. Produced a technical report detailing insights used for trend identification.
Cisco Data Analytics Essentials
Cisco
June 1, 2026 – Present
DecodeLabs Data Analysis Internship
DecodeLabs
June 1, 2026 – Present
3MTT (3 Million Technical Talent) Data Analysis Program
3MTT
May 1, 2026 – Present
Introduction to Data for Decision Makers (BCG X via Forage)
BCG X via Forage
April 1, 2026 – Present
Cultural Fit Analysis
The candidate's background in statistics and experience in both academic and government settings (National Bureau of Statistics) suggests an ability to work in structured environments. Their involvement in various data analysis programs and internships indicates a strong desire for continuous learning and adaptation, which aligns well with a dynamic data-driven culture. The project diversity, from academic research to operational data analysis, shows a breadth of application for their skills.
Soft Skills & Operational Fit
The candidate demonstrates a results-driven approach, evidenced by their focus on revenue optimization and process improvement in project descriptions. Their experience in facilitating practical sessions and managing data collection suggests good organizational and communication skills. The academic project on spatial modeling indicates an ability to design research frameworks and produce technical reports, which are valuable for operational fit in a data analyst role.