Account Management Dashboard
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Summary
Developed an interactive Power BI dashboard to provide real-time insights into account performance, revenue trends, and client activity.
Highly analytical Data Analyst with an Economics background, proficient in Python, SQL, Power BI, and Excel, focused on transforming complex datasets into actionable insights. Expert in data cleaning, database management, and report development to drive operational and financial decision-making. Passionate about leveraging data visualization and trend analysis to enhance efficiency and support strategic business growth.
Administrative Assistant
Kaduna, Kaduna State, Nigeria
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Summary
Supported operational efficiency and data integrity by maintaining institutional databases and generating critical reports for strategic planning.
Highlights
Maintained and audited institutional databases, ensuring 99%+ data accuracy and integrity crucial for operational reliability.
Produced comprehensive administrative and financial reports using Excel data analysis tools, enhancing decision-making for key stakeholders.
Assisted with budget tracking and cost analysis, contributing to informed operational planning and resource allocation.
Organized and structured internal datasets, improving data accessibility and reporting efficiency by over 15%.
Coordinated internal projects and enhanced workflow documentation through structured data records, streamlining team processes.
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B.Sc.
Economics
Awarded By
Inter-School Competition
Awarded for demonstrating exceptional strategic thinking and analytical problem-solving skills in a competitive environment.
Issued By
Nexora Horizons
Issued By
Bincom Academy
Issued By
Colab Innovation Hub
Python, Pandas, NumPy, SQL.
Power BI, Excel Dashboards, Data Storytelling.
Advanced Excel, Pivot Tables, Power Query.
Data Cleaning, Exploratory Data Analysis (EDA), Statistical Analysis, Trend Analysis, Forecasting.
Database Management, Data Validation, Reporting Automation.
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Summary
Developed an interactive Power BI dashboard to provide real-time insights into account performance, revenue trends, and client activity.
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Summary
Utilized Python (Pandas, NumPy) to process and analyze datasets, identifying critical patterns and insights.
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Summary
Performed in-depth financial dataset analysis using Excel to identify spending patterns and generate summary reports for decision support.