About Me...
Hi! I'm Moses Tega Ziregbe 👋I am a Data Analyst passionate about helping businesses transform their raw data into strategic insights and actionable solutions.With expertise in Power BI, SQL, Python, Excel, and Google Sheets, I specialize in creating interactive dashboards and data-driven solutions that enable companies to make informed decisions and drive business growth.
Skills
Business Analytics: Excel, Microsoft 365, Microsoft Power BI (Power Query, DAX), Tableau, Google Sheets, SlackDatabases: Microsoft SQL Server, PostgreSQL, MySQL, DBeaverProgramming: Python - Numpy, Pandas, Matplotlib, Plotly, Seaborn;Webscraping - Selenium, BeautifulSoup, ScrapyCloud Technologies: Snowflake, AWS RedshiftMethodologies: ETL, Data Modelling, Data Wrangling, Data Visualization, Dashboard Design, A/B Testing, Project Management, Report WritingSoft Skills: Communication, Team Work and Collaboration, Research and Documentation, Critical Thinking and Problem Solving, Active LearningExplore my projects below.Scroll to get an overview of a few of them.
Featured Projects
POWER BI | EXCEL
SUPERMARKET CUSTOMER CHURN ANALYSISThis project analyzes customer churn for a supermarket chain. Using Power BI, I've created a comprehensive dashboard to visualize and understand factors influencing customer retention and churn. Uncovered key insights like how age and credit card ownership impact churn and how different branches perform.
POWER BI
COFFEE SHOP SALES ANALYSIS AND PERFROMANCE OPTIMIZATIONAnalyzing sales trends and store performance data for Maven Roasters, I constructed an extensive data model, uncovered sales trend, identified top-selling products, peak sales hours, and store-specific insights. Leveraging Power BI, this interactive dashboard offer actionable insights to optimize sales, capitalize on high-demand products, and drive revenue growth.
SQL | PYTHON
SMARTPRIX LAPTOP MARKET ANALYSISDeveloped end-to-end data analysis pipeline using PostgreSQL and Python to clean and analyze 1,000+ laptops from SmartPrix. Leveraged SQL for data cleaning and complex queries, revealing key market trends and price-performance insights that could inform purchasing decisions and competitive analysis.
PYTHON
BLUMHOUSE MOVIES PROFITABILITY ANALYSISJust How Profitable Are BlumHouse Movies?
This project analyzes the profitability of Blumhouse Productions' low-budget horror films, focusing on production budgets, ROI, and factors like ratings and release years. Using Python for exploratory data analysis and data visualization, it uncovers key insights into budget allocation and box office performance.
Willing to Work Together?Well, let's get started! Contact and connect with me on any of the channels below.





