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Power BI Developer with less than a year in data transformation and insight generation.
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Data Analyst with hands-on experience transforming raw data into actionable insights through business intelligence reporting, dashboard development, and survey analytics. Skilled in Excel, Power BI, Power Query, Kobo Toolbox, PostgreSQL, and Stata, with experience analyzing business operations, customer behavior, healthcare accessibility, and historical aviation data. Adept at data cleaning, transformation, KPI development, and insight generation, with a proven ability to communicate findings that support evidence-based decision-making and organizational performance.
Enugu State University of Science and Technology
Bachelor of Science (B.Sc.) · Geology and Mining
N/A – June 30, 2026
Retail Business Intelligence Dashboard
June 1, 2026 – June 1, 2026
Developed an end-to-end business intelligence dashboard analyzing sales performance, customer behavior, inventory management, supplier performance, and operational efficiency across a retail business environment. Designed interactive reports and KPI dashboards to support strategic and operational decision-making. Insights Generated: Analyzed approximately $12M in revenue and $3M in profit, revealing an overall profit margin of 24.42%. Identified the most profitable regions, customer segments, and product categories driving business performance. Revealed that consumer customers generated the highest share of revenue across all customer segments. Highlighted low-stock products and inventory risks, supporting proactive replenishment planning. Demonstrated the impact of discounting on profitability, showing that excessive discounts reduced profit despite increasing sales volume. Uncovered return and cancellation patterns that presented opportunities to improve operational and logistics efficiency.
Airplane Crashes and Fatalities Dashboard
June 1, 2026 – June 1, 2026
Developed an interactive dashboard analyzing global aviation accidents between 1908 and 2009 to uncover trends in crash occurrences, fatalities, survival rates, geographic distribution, and operator performance. Insights Generated: Analyzed over 5,000 recorded aviation accidents resulting in approximately 105,000 fatalities. Identified major geographic hotspots and operators with the highest crash frequencies. Measured an overall survival rate of 27% and an average of 20 fatalities per crash. Revealed that most crashes occurred on weekdays and highlighted notable seasonal patterns in aviation incidents. Enabled users to explore accident trends across locations, operators, routes, and time periods through interactive visualizations.
Bike Buyers Customer Analysis Dashboard
June 1, 2026 – June 1, 2026
Conducted customer segmentation and purchasing behavior analysis using demographic and socioeconomic data to understand factors influencing bicycle purchase decisions. Insights Generated: Identified adults as the largest purchasing age group across the customer base. Revealed income level, occupation, and region as significant drivers of purchasing behavior. Analyzed customer demographics to uncover patterns that could support targeted marketing and sales strategies. Developed an interactive dashboard enabling comparison of customer segments and purchase trends.
Healthcare Access and Poverty Survey Analysis
June 1, 2026 – June 1, 2026
Designed and conducted a survey-based research project to assess the impact of poverty on healthcare accessibility among residents in Abuja. Managed the complete data lifecycle from questionnaire design and digital data collection to cleaning, analysis, and reporting. Insights Generated: Found that 72% of respondents sought healthcare services only when illness occurred, indicating low preventive healthcare utilization. Identified financial constraints as a major barrier to accessing healthcare services among low-income households. Analyzed healthcare utilization patterns across income groups to support evidence-based recommendations. Produced analytical reports highlighting key socioeconomic factors influencing healthcare access.
Data Analytics Track Certificate
Quantum Analytics
June 1, 2026 – Present
Data Analytics Bootcamp Certificate
DigiGirls Initiative
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse range of analytical applications, from retail business intelligence to healthcare access and aviation safety. This breadth suggests adaptability and a willingness to tackle varied challenges. The focus on generating actionable insights aligns well with a results-oriented culture. However, the lack of team-based project descriptions or collaborative experiences makes it difficult to fully assess cultural fit beyond individual contributions.
Soft Skills & Operational Fit
The candidate's resume highlights strong soft skills such as Analytical Thinking, Problem Solving, Stakeholder Communication, Attention to Detail, Report Writing, and Time Management. These are crucial for a Power BI Developer role, indicating a good operational fit for project execution and collaboration. The project descriptions show a methodical approach to data analysis and reporting.