"Data analyst skilled in Excel, Python, SQL, and Power BI. I transform messy data into meaningful insights with a focus on clear, engaging visualizations. Let's explore the data together!"
From the depths of the ocean to the digital realm, I'm Moyin Odumewu, a Marine Biology graduate turned data enthusiast. My year in telesales taught me the art of navigating choppy waters (customer inquiries!), and now I'm diving deep into the world of data analysis with Excel, SQL, Power BI, and Python. Ready to explore the data and uncover some fascinating underwater treasures (insights, that is!).
This Excel-based gem breaks down sales, revenue, and performance metrics to help spot trends, boost profits, and keep the furniture business from falling flat—literally.
The "59th Store" Sales Dashboard: Style meets strategy! This Excel-powered tool reveals profit margin and inventory turnover. It spotlights T-shirts as top sellers and WhatsApp as our sales MVP. Armed with these insights, I'm optimizing "59th Store" for growth.
I led a three-person team in analyzing Netflix user behaviour, subscription trends, and revenue insights. Utilizing SQL for data extraction and Power BI for visualization, we identified key trends such as high churn rates for Basic plans and the significant impact of content releases on user activity.
I designed to monitor and evaluate the performance of a call center, providing actionable insights into key metrics such as call volume, agent performance, customer satisfaction, and operational efficiency. The dashboard equips managers and stakeholders with a clear view of daily operations, enabling data-driven decisions to enhance customer service quality and improve team performance.
Using Excel, the insights derived from this analysis aim to help stakeholders understand traffic behaviour and make informed decisions to optimize user engagement. The dashboard highlights key metrics such as total traffic count, average traffic count, peak hours, and daily trends. Interactive filters for months, days, and time allow for dynamic exploration of traffic patterns.
Lagos, Nigeria