Projects
When I first began my journey into the IT world, I was fortunate to gain hands-on experience through several freelance projects and collaborations. At that stage, I valued the learning and practical exposure more than financial reward, which allowed me to quickly build essential professional skills. These projects not only sharpened my technical abilities in data analysis and automation, but also gave me the confidence to deliver real value in a business context.
Excel Sales Summary
Description:
Cleaned and structured a dataset of ~500 shop transactions. Built PivotTables and bar charts to show monthly revenue and best-selling products.
Skills & Tools:
Excel | PivotTables | SUMIF | Charts
Outcome:
Client received a one-page sales overview for management reporting.
Customer List Cleanup
Description:
Normalized a customer database with ~1,200 entries. Removed duplicates, standardized email formats, and created a dashboard showing new vs. returning customers.
Skills & Tools:
Excel | Data Cleaning | Conditional Formatting
Outcome:
Improved accuracy of customer records by 95%.
SQL Order Analysis
Description:
Wrote SQL queries for ~10,000 e-commerce orders. Identified top 5 products, calculated average order value, and segmented repeat customers.
Skills & Tools:
SQL | SELECT | GROUP BY | JOIN
Outcome:
Delivered a report highlighting revenue drivers and customer loyalty.
Power BI Sales Dashboard
Description:
Created an interactive dashboard for 12 months of sales (~5 categories). Included slicers for product and month, and visuals for total revenue, growth trend, and category comparison.
Skills & Tools:
Power BI | Power Query | Interactive Visualizations
Outcome:
Gave management a clear, visual overview of performance trends.
Invoice Tracker Automation
Description:
Developed an Excel sheet that automatically logs invoices with formulas and highlights overdue payments. Added a summary page with monthly totals.
Skills & Tools:
Excel | SUMIF | Conditional Formatting
Outcome:
Reduced manual tracking effort and improved payment visibility.
Customer Segmentation Report
Description:
Analyzed ~3,000 customer records. Segmented customers by spending (low, medium, high) and visualized distribution in Power BI with pie and bar charts.
Skills & Tools:
Power BI | Excel | Data Cleaning
Outcome:
Helped identify that 20% of customers generated ~65% of revenue.