I am a Data Analyst passionate about transforming raw data into actionable insights. With expertise in business intelligence, data visualization, and data-driven decision-making, I utilize Python, SQL, Power BI, and Excel (Power Query) to extract meaningful trends and support strategic decisions.
I am currently working on advanced analytics dashboards, market trend analysis, and predictive modeling, while also improving my machine learning skills for data analysis.
OPEN TO WORK 🤝
📌The UrbanEats Route Optimization Project was developed to tackle prolonged delivery times, rising operational costs, and inefficient driver utilization in Lagos’ urban food delivery market. Using SQL for data analysis and Power BI for visualization, the project established baseline metrics such as average delivery lead time, operational cost per delivery, delivery accuracy, and driver workload, then applied traffic-aware route optimization to model more efficient deliveries. The results showed a 20% reduction in delivery lead times and a 15% decrease in operational costs, while also improving driver satisfaction through balanced assignments. This data-driven approach positions UrbanEats to deliver faster, more reliable, and cost-effective services, strengthening customer trust and ensuring a competitive edge in the market.
📸 Preview:
📌 This project explores customer behavior through a Cohort Retention Analysis of online retail data. Leveraging SQL, I cleaned transactional records, calculated Cohort Indices, and generated retention matrices to track engagement. The final insights were visualized in Tableau to highlight churn trends and retention opportunities over time
📸 Preview:
📌 Objective: To uncover actionable insights that will guide decision-making in marketing strategy, campaign optimization, and audience targeting.
🔗 View Project
⭐ "Turning Data into Meaningful Insights!"