Financial Trends and Fraud Detection Dashboard
Summary
A Power BI and SQL-driven project focused on analyzing banking datasets to identify revenue drivers and security vulnerabilities.
About
Impact-driven Data Analyst specializing in Business Intelligence and scalable data solutions, adept at transforming complex datasets into strategic insights. Leverages expertise in SQL, Python, Power BI, and Excel to develop automated reporting systems and interactive dashboards, driving informed decision-making and optimizing business performance in dynamic environments.
Work
KodeHauz Solutions Planet
|Data Analysis Intern
Eket, Akwa Ibom State, Nigeria
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Summary
Supported data analysis initiatives by collecting, cleaning, and interpreting complex datasets to inform strategic decisions and enhance operational efficiency.
Highlights
Assisted in the development of data models and interactive dashboards using Power BI and Excel, improving data accessibility and visualization for internal teams.
Contributed to data quality assurance efforts, ensuring the accuracy and consistency of information utilized in reporting and analytical processes.
Performed preliminary statistical analysis on various datasets, identifying key trends and patterns to support further investigation and business strategy development.
Education
UNIVERSITY OF UYO
UYO, UYO, Nigeria
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BSc.
Biochemistry
Languages
English
Skills
Languages (Programming)
SQL, PostgreSQL, MySQL, Python (Pandas, NumPy, Matplotlib).
Data Visualization
Power BI (DAX, Power Query), Tableau, Excel Dashboards.
Tools and Databases
Microsoft Excel (Advanced Pivot Tables, VLOOKUP), Google Sheets.
Statistical Analysis
Hypothesis Testing (T-tests, ANOVA), Linear Regression, Correlation Analysis.
Soft Skills
Detail Oriented, Remote Collaboration, Communication, Analytical Thinking, Problem Solving, Time Management, Organization, Adaptability.
Projects
Customer Occupation and Income Correlation
Summary
A Python and Excel-based project investigating the relationship between customer income and transaction volume across various occupational groups.