MUMINAT OLAIYA

Data Analyst

About

A dedicated and evolving Data Analyst equipped with a solid foundation in data manipulation and statistical analysis using Excel, SPSS, and MySQL. Actively enhancing technical capabilities through self-study in Python and planning to master Power BI, aiming to leverage advanced tools for deeper insights. Proven adeptness in transforming complex datasets into actionable intelligence, demonstrated through impactful projects like the Superstore sales analysis, critical maternal and child health data evaluation, and comprehensive questionnaire analysis, driving informed decision-making and strategic outcomes.

Languages

English

Skills

Data Analysis

Data Cleaning, Data Visualization, Statistical Analysis, Reporting, Business Intelligence.

Microsoft Excel

Spreadsheets, Data Manipulation, Pivot Tables, VLOOKUP, Data Validation, Formulas.

SPSS

Statistical Software, Data Modeling, Hypothesis Testing, Regression Analysis, Survey Analysis.

MySQL

SQL, Relational Databases, Database Management, Data Querying, Data Extraction.

Python

Data Science, Pandas, NumPy, Data Manipulation, Scripting.

Power BI

Business Intelligence, Dashboarding, Data Modeling, Data Storytelling, Interactive Reports.

Projects

Questionnaire Analysis

Summary

Conducted in-depth analysis of survey and questionnaire data to derive meaningful insights and recommendations.

Maternal and Child Health Data Analysis

Summary

Processed and analyzed maternal and child health datasets to uncover critical health indicators and trends.

Superstore Project

Summary

Analyzed a comprehensive superstore dataset to identify sales trends, customer behavior patterns, and profitability insights.