BASSEY-MORROW, VICTORIA DAN

Data Analyst

UYO, NG.

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

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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

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.

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.