Results-driven Data Analyst with a foundation in Accounting and advanced proficiency in SQL, Power BI, Tableau, Excel, and R. Currently pursuing a Master’s degree in Data Science at the University of East London, with a strong focus on applying predictive analytics and machine learning to financial and business challenges. Successfully improved financial accuracy by 15% through enhanced auditing and data validation processes, and identified cost-saving opportunities of ₦500,000 during budget reviews that supported strategic planning. Highly proficient in applying SQL and Power BI for financial reporting and data visualization, while demonstrating strong collaboration and stakeholder communication skills to simplify complex insights for decision-makers. Committed to ethical data practices and continuous professional development, with self-directed learning in Python, machine learning libraries such as Pandas and R, as well as data storytelling.