Professional Experience
2024 - 2025
Intern || Junior Data Analyst
Vephla Uni
Remote
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Analyzed datasets across diverse sectors such as public healthcare, African tech startups, and cyber fraud, using tools like Excel, Power BI, Tableau, and PostgreSQL to explore trends, identify patterns, and support decision-making.
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Developed end-to-end interactive dashboards and analytical reports to translate raw data into actionable insights, incorporating filters, KPIs, dynamic visuals, and storytelling elements tailored to real-world use cases.
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Wrote and optimized complex SQL queries for tasks including data extraction, joining multiple tables, conditional logic, and transforming messy datasets into clean, structured formats ready for analysis.
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Led the Data Analytics team on a multi-track project involving Project Managers, UI/UX designers, Frontend and Backend developers, and Cybersecurity teams, coordinating data tasks, ensuring alignment with project objectives, and overseeing timely delivery of analytical outputs.
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Presented completed projects to mentors and peers in a professional setting, explaining the objectives, methods, tools used, findings, and data-backed recommendations.
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Delivered multiple real-world simulations, handling all phases of the analytics workflow: data cleaning, exploratory analysis, insight generation, visual presentation, and final delivery to mock stakeholders.
2023 - 2026
Junior Data Analyst
Delta State Contributory Health Commission
Asaba, Nigeria
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Improved data accuracy by collecting relevant data from various sources such as claims, member demographics, healthcare providers, etc., and validating enrollee, claims, and provider records, which led to a reduction in reporting errors and ensured consistency across internal systems and regulatory submissions.
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Managed projects that analyze large datasets by identifying trends, patterns, and insights that can inform decision-making for improvement and reduce hospital admission rates using statistical techniques and data mining to extract meaningful information from the data and provide actionable recommendations.
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Designed and deployed interactive dashboards in Excel and Power BI to visualize enrolment trends, treatment types, and provider performance, enhancing decision-making for directors and operations teams.
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Analyzed patterns in claim rejections, approval delays, and processing inefficiencies, ultimately reducing average claim turnaround time by 25% through targeted recommendations and process optimization.
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Identifying anomalies and patterns indicative of fraudulent activities such as billing fraud, identity theft, or inappropriate healthcare utilization.
Education
2024 - 2026 (In View)
Vephla Uni
Certificate in Data Analytics
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Immersive, project-based training focused on applying analytical techniques to real-world business and industry datasets.
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Developed practical proficiency in Excel, SQL, PostgreSQL, Power BI, Tableau, and Python for data cleaning, transformation, analysis, visualization, and basic web scraping.
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Completed structured projects across sectors including healthcare, startups, HR, and financial fraud analytics.
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Worked on cross-functional, multi-track projects simulating real-life organizational workflows, collaborating with team members across roles such as project management, UI/UX, frontend, backend, and cybersecurity.
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Built interactive dashboards, transformed raw datasets into structured formats, and applied exploratory data analysis techniques to generate meaningful insights.
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Delivered structured video presentations for class projects, clearly communicating objectives, methodologies, insights, and recommendations, strengthening professional presentation and data storytelling skills.
2014 - 2019
Cross River University of Technology
B.Sc Computer Science
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Gained extensive experience in problem-solving, including algorithm design, flowchart development, and analyzing time and space efficiency, laying a strong foundation for computer programming.
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Built a solid foundation in programming, algorithms, databases, and computer systems, developing practical skills in relational databases, software engineering principles, and logical reasoning.
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Completed projects spanning data structures, web development, and basic network management, applying learned concepts to solve real-world computational problems.
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Cultivated an early passion for data and analytics through coursework and personal exploration, preparing for advanced work in data analysis and visualization.
Certifications
Microsoft Certified:Power BI Data Analyst Associate (PL-300)
Credential ID: EDBD520BA61FFDB
Skills
Technical Skills
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Microsoft Excel: Pivot Tables, Advanced Functions, Data Cleaning, Data Visualization
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Microsoft Power BI: Power Query, ETL Processes, DAX, Data Modeling, Interactive Dashboards
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Tableau: Data Preparation & Connections, Data Visualization, Basic Calculations
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SQL: Efficient Query Writing, Filtering, Aggregations, Multi-table Joins, Data Transformation
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Python: Data Analysis with Pandas, Data Visualization (Matplotlib/Seaborn), Web Scraping
Soft Skills:
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Analytical Thinking
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Problem-Solving
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Leadership
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Communication & Data Storytelling
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Team Collaboration
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Attention to Detail
Tools and Technologies
Microsoft Excel
Microsoft Power BI
Tableau
PostgreSQL
Python