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Power BI Developer with 2+ years in Power BI, SQL & Python for strategic decision-making.
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Results-driven Data Analyst with 8+ months of hands-on experience building SQL queries, Python ETL pipelines, and interactive Power BI dashboards that drive strategic business decisions. Skilled in translating large datasets (1M+ transactions) into actionable insights, identifying revenue opportunities, and communicating data narratives to cross-functional stakeholders. Proven impact: $3.4M in identified business opportunities through customer segmentation, sales forecasting, and operational analytics.
Lagos State University
B.Sc. (Ed.) · Educational Technology
August 1, 2020 – June 30, 2024
Gonie PM Ltd.
Power BI Developer
May 1, 2025 – August 1, 2025
Lagos Island, Lagos State, Nigeria
Dnar
Data Operations Specialist
July 1, 2024 – March 1, 2026
Baltimore, Maryland, United States
Sales & HR Analytics Dashboard (Excel)
June 1, 2026 – June 1, 2026
Analyzed 9,995 sales transactions and 1,470 HR records to identify sales performance and employee attrition patterns. Built a 3-page interactive Excel dashboard featuring KPI cards, pivot tables, slicers, and professional visualizations. Cleaned and transformed raw data using advanced Excel formulas, Power Query, XLOOKUP, and calculated columns. Identified geographic concentration risk with the UK contributing 95% of total revenue and highlighted expansion opportunities. Delivered business recommendations with $1.86M identified revenue growth and recovery opportunities.
View ProjectHR Analytics Dashboard – Advanced Power BI
June 1, 2026 – June 1, 2026
Built a 3-page Power BI dashboard analyzing workforce demographics, compensation, and attrition trends across 1,470 employees. Created advanced DAX measures and calculated columns for KPI reporting, retention analysis, and employee segmentation. Designed heatmaps, scatter plots, funnel charts, and violin plots to visualize attrition and workforce trends. Identified critical early-career attrition risks and recommended retention and mentorship strategies. Delivered 7 strategic recommendations to improve retention, workforce planning, and employee engagement.
View ProjectE-Commerce Customer Segmentation & RFM Analysis
June 1, 2026 – June 1, 2026
Performed end-to-end customer segmentation analysis on 1M+ e-commerce transactions using PostgreSQL and Python. Developed 8 advanced SQL queries to analyze customer behavior, revenue trends, and product performance. Implemented RFM segmentation framework classifying 5,878 customers into 7 actionable business segments. Identified $1.54M at-risk revenue opportunity and proposed customer retention and win-back strategies. Created professional visualizations using Matplotlib and Seaborn to communicate customer insights.
View ProjectVirtual Assistant
ALX
June 1, 2026 – Present
Data Analyst Associate
DataCamp
June 1, 2026 – Present
Excel Skill for Business
Macquarie University, Sydney, Australia
June 1, 2026 – Present
Excel for Data Analysis
IBM
June 1, 2026 – Present
SQL Track
DataCamp
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering sales, HR, and e-commerce analytics, indicates a broad interest in applying data skills across different business domains. The target role of Power BI Developer aligns well with the candidate's stated experience and project focus. The breadth of skills (Excel, SQL, Python, Power BI) suggests adaptability and a willingness to learn, contributing positively to cultural fit. However, the relatively short professional experience (8+ months) and personal projects might indicate a need for more exposure to diverse team dynamics and corporate environments.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Communication, Teamwork, Leadership, Problem-Solving, Critical Thinking, Adaptability, Time Management, and Lifelong Learning. The project descriptions and professional experience demonstrate an ability to collaborate with stakeholders, understand business requirements, and deliver solutions, indicating a good operational fit. The psychometric test score (297/500) suggests some areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which could impact operational fit in high-pressure environments.