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Would you rather inherit a messy dataset with accurate numbers, or a clean-looking dataset where a few numbers are quietly wrong?
I'd take messy every time. Messy at least announces itself, duplicate rows, inconsistent formats, obvious gaps. A clean-looking spreadsheet with a wrong formula three columns over looks exactly as trustworthy as the correct one, right up until someone builds a decision on it.
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Supply Chain Data Cleaning - Supplier Inventory Fix
Project: Cleaned messy supplier file with 532 rows for a small business.
BEFORE: Data had duplicates, inconsistent names (safaricom LTD vs SAFARICOM LTD), missing quantities, NULL prices, extra spaces.
WHAT I DID:
✓ Removed 47 duplicate rows using Remove Duplicates
✓ Standardized 112 supplier names with TRIM & PROPER
✓ Fixed stock quantities: blank -> 0, "10 pcs" -> 10
✓ Cleaned price column: NULL removed, spaces trimmed
✓ Used VLOOKUP to add product categories
AFTER: 99.2% clean, ready for PivotTable reporting.
RESULT: Client saved 6 hours, now has accurate stock levels for reordering.
Tools: Excel, Google Sheets, VLOOKUP, PivotTable, Data Validation
Timeline: 24 hours delivery
Welcome! Are you looking to turn messy data into clear, actionable insights? You're in the right place.
As a professional data analyst, I specialize in transforming raw data into clean, structured, and visually compelling dashboards that help businesses make smarter decisions.
What I Offer:
• Data Cleaning & Preparation (Handling missing values, removing duplicates, formatting)
• Exploratory Data Analysis (EDA) to find key trends and patterns
• Interactive Dashboards & Reports (Power BI/ Excel)
• Custom DAX / SQL queries for deep metric tracking
• Professional summary report with key business insights
Tools I Use:
• Power BI
• Python & SQL
• Advanced Excel & Google Sheets
Why Choose Me?
• High-quality, clean design with user-friendly layouts
• Fast turnaround time and clear communication
• 100% satisfaction guarantee
Let's unlock the story behind your data! Please contact me before placing an order so we can discuss your specific project goals.
A "single source of truth" is a phrase everyone uses and almost nobody has. Usually there are three spreadsheets, two of which are stale, and a dashboard pulling from whichever one someone remembered to update last.
Fixing that isn't a bigger dashboard, it's deciding, on paper, which system owns which number, and building everything else to reference it instead of duplicating it.
