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Analyzed monthly product sales data to identify trends and performance across multiple product categories.
Created clear visualisations to highlight sales patterns, peak periods and product comparisons, enabling better understanding of business performance.
This project demonstrates my ability to transform raw data into meaningful insights using Excel.
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Connect with clients, get discovered, and run your business 100% commission-free
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This project demonstrates my ability to manage, organize, and process invoicing and billing data accurately using spreadsheet tools like Microsoft Excel and Google Sheets. The dataset includes 20 sample invoices generated over a three-month period, simulating real-world business transactions across multiple international clients.
Each record contains essential billing details such as invoice date, unique invoice number, client name, service description, quantity/hours worked, unit pricing, total amount calculation, and payment status (Paid, Pending, or Overdue).
The project highlights my skills in:
Accurate data entry and formatting
Invoice tracking and organization
Performing calculations (e.g., total amount = quantity × unit price)
Maintaining data consistency and structure
Handling financial records with attention to detail
This sample dataset reflects common tasks performed in data entry and billing roles, including managing client records, tracking payments, and ensuring data accuracy for financial reporting.
Microsoft ExcelData EntrydatamanagementinvoicingdataentrySEO Content Managment Product Data AnalyticsGoogle Sheets
keep up the good work
Product Inventory Database — 20 SKUs Cleaned & Enriched
The before and after comparison shows the cleaning impact really clearly — standardized product IDs, consistent category naming and clean supplier entries make this so much more usable for filtering and reporting. Enriching 20 SKUs with accurate category and supplier data is...
If you are using Shopify and relying only on native app tracking, you are probably missing a lot of accurate data.
I recently worked on Shopify conversion tracking using Google Tag Manager instead of native integrations, and the difference is huge.
With GTM setup:
• Tracking becomes more accurate and controlled
• You can properly send data to multiple platforms like Meta, Google Ads, GA4, TikTok
• Server-side and data layer based tracking improves attribution
• No duplicate or missing events like native apps often cause
• You get full flexibility to customize events based on business goals
Native Shopify apps are easy, but they are limited. GTM gives you full control over your tracking system.
If you want clean data, better optimization, and real performance insights, GTM is the smarter way to go.
Because at the end of the day
better data = better decisions = better ROI
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