Transforming Data into Decisions –
Explore Oreoluwa’s Analytics Journey
I am Oreoluwa Adesanya, a data-driven professional who loves turning numbers into meaningful insights. With a strong foundation in SQL, Power BI, Tableau, and Excel, I’ve worked on market research projects, built compelling data visualizations, and helped businesses make smarter decisions. My experience spans financial services, education, and enterprise solutions, where I’ve streamlined processes, improved decision-making accuracy, and developed data-driven strategies that create impact.
Beyond analysis, I find joy in teaching and empowering others. As a data analysis tutor, I’ve designed and delivered hands-on training that helps learners gain practical skills in Excel, SQL, and business intelligence tools. Problem-solving and critical thinking fuel my work, and I thrive in dynamic environments where data shapes strategy and innovation.
@oreoluwaadesanya
I analyzed the financial performance of ExxonMobil, Chevron, Shell, TotalEnergies, and BP from 2011 to 2022. I gathered and examined financial data, market trends, and industry reports to assess profitability, efficiency, and market positioning. Through comparative benchmarking, I evaluated their upstream (exploration & production) and downstream (refining & marketing) operations. I also identified key industry shifts, including the impact of oil price fluctuations and the transition to renewable energy. My findings were compiled into a detailed report, providing strategic insights for decision-making.
I created this map using QGIS, showing the distribution of mineral resources across all African countries. I gathered and processed the data and designed the map, which is used as a reference tool for market research and investment analysis at Moneda Investment Limited.
In this project, I created an interactive sales analysis dashboard using Power BI, enabling sales teams to monitor performance metrics in real-time and make data-driven decisions. Utilized advanced Excel techniques to extract and transform raw sales data, ensuring accuracy and reliability in the dashboard
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In this project, I conducted a thorough data exploration of COVID-19 datasets. The aim was to gain valuable insights, identify meaningful patterns, and comprehend the underlying trends and characteristics of the 2020 pandemic.
In this project, I designed and implemented an informative dashboard in Tableau that effectively showcases the bike usage patterns of customers. This dashboard offers stakeholders a comprehensive and detailed insight into the ways customers interact with Cyclistic's services. I utilized SQL queries to extract and transform raw customer data, ensuring the accuracy and reliability of the dashboard's information.
In this project, I performed RFM analysis by utilizing MySQL to divide customers into segments based on their purchasing behavior.
The main objective of this project was to develop an executive dashboard showcasing airport sales and flight delays. Additionally, the project aimed to detect patterns between airport sales and flight delays concerning specific timeframes and months.
Website analysis has always intrigued me, leading me to conduct an in-depth analysis of a specific website. My primary objective was to gain valuable insights into user behavior, understand the website's performance, and evaluate its overall effectiveness.