Cleaned and standardized a messy customer transaction dataset using Excel and Power Query. The project included correcting inconsistent text and category values, standardizing dates and phone numbers, converting order amounts into usable numeric data, handling missing values, removing duplicates, and organizing the final dataset into a clean structure. Basic PivotTable summaries were also created to make the cleaned data immediately usable for reporting.
Real estate dashboards are usually built for data entry. Aurex Living was built for decision-making.
$873,42.39 total revenue. 1,269 completed deals this month. $276K sold, $346K rented. Property cards, agent tracking, map view, average sale value trending +10% - every number a real estate operator actually needs, on one clean white canvas.
I recently built a retail analytics dashboard using Power BI, with data cleaning and transformation using Excel/Power Query.
I'm currently looking to work with small businesses, retailers, and growing teams that want their data to be easier to understand and use.
💬 If you already maintain your business data in Excel, feel free to message me. I'd be happy to show you what a dashboard could look like for your business.